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UMI NBS84-26358
What is planned is the process of designing an air cylinder. Design is execution of that plan. most important part is chap 5 about knowledge-based handling of failure, which leads to replanning and re-execution; ie redesign.
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camma.macar-1983:stratcoope:inbook:767 S. Cammarata and D. MacArthur and R. Steeb Strategies of cooperation in distributed problem solving International Joint Conference on Artificial Intelligence (IJCAI 83) 1983 767--770 camma.macar-1983:stratcoope:TR S. Cammarata and D. MacArthur and R. Steeb Strategies of cooperation in distributed problem solving Rand Corp. 1983 AD-136527/9 October camma.mcart-1983:stratcoope:inbook:767 Stephanie Cammarata and David McArthur and Randall Steeb Strategies of Cooperation in Distributed Problem Solving Proceedings of the Eighth International Joint Conference on Artificial Intelligence 1983 767--770
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campb-1988:chunkas:thesis Murray Campbell Chunking as an abstraction mechanism CMU 1988 February campb-1988:chunkas:TR Murray Campbell Chunking as an abstraction mechanism Dept CS, CMU 1988 CMU-CS-88-116 canam.kodra-1994:case-plan:inbook:16 Dolores Canamero and Yves Kodratoff and Jean-Francois Delannoy and Michel Bares Case-Based Plan Recognition in Dynamic Domains Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 16--22 AAAI Press, Menlo Park, California 0-929280-75-x carbe-1985:pragmmodel:thesis Sandra M. Carberry Pragmatic modeling in information system interfaces Delaware University 1985
carbe-1988:modelusers:journal:23 S. Carberry Modelling the user's plans and goals Computational Linguistics: Special issue on user modelling 1988 14 3 23--37 A. Kobsa and W. Wahlster
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New Jersey
carbo-1981:subjeunder: J. G. Carbonell Subjective Understanding: Computer Models of Belief Systems UMI Research Press 1981
carbo-1982:derivanalo:journal: J. G. Carbonell Derivational analogy in problem solving and knowledge acquisition Intl. machine learning workshop 2 1982 June
Monticello Illinois
carbo-1982:experlearn:inbook: J. G. Carbonell Experiential learning in analogical problem solving 2nd National Conference on Artificial Intelligence (AAAI 82) 1982 carbo-1982:learnby:inbook: J. G. Carbonell Learning by analogy: formulating and generalizing plans from past R. S. Michalski and J. G. Carbonell and T. M. Mitchell Machine learning: an AI approach Tioga Press 1982
Palo Alto CA
carbo-1982:learnby:TR J. G. Carbonell Learning by analogy: formulating and generalizing plans from past Dept CS, Carnegie-Mellon University 1982 CMU-CS-82-126 carbo-1983:derivanalo:inbook: J. G. Carbonell Derivational analogy and its role in problem solving National Conference on Artificial Intelligence (AAAI 83) 1983 carbo-1985:derivanalo:inbook:371 J. Carbonell Derivational Analogy: {A} Theory of Reconstructive Problem Solving R. Michalski and J. Carbonell and T. Mitchell Machine Learning: An Artificial Intelligence Approach Morgan Kaufmann 1985 371--392 carbo-1985:derivanalo:TR J. Carbonell Derivational Analogy: {A} Theory of Reconstructive Problem Solving and Expertise Acquisition Carnegie-Mellon University 1985 CMU-CS-85-115 carbo-1986:derivanalo:inbook: J. G. Carbonell Derivational analogy: {A} theory of reconstructive problem solving and expertise acquisition R. S. Michalski and J. G. Carbonell and T. M. Mitchell Machine Learning: An Artificial Intelligence Approach Morgan Kaufmann Publishers, Inc. 1986 II
Palo Alto, California
carbo-1988:integderiv:inbook:104 J. G. Carbonell Integrating derivational analogy into a general problem solving architecture Proceedings of the DARPA Workshop on Case-Based Reasoning 1988 104--124
Clearwater Beach, Florida
carbo-1988:prodiinteg:inbook: J. G. Carbonell {PRODIGY}: an integrated architecture for planning and learning Symposium for methodologies for intelligent systems 3 1988
Turin
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carbo.yolan-1987:learnby:TR Jaime G. Carbonell and G. I. L. Yolanda Learning by Experimentation: The Operator Refinement Method CMU 1987 CMU-CS-87-167 September PRODIGY carle-1991:recovfrom:inbook: Jean Carletta Recovering from plan failure using a layered architecture 10th UK planning SIG 1991
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carve.lesse-1984:focusin:inbook:42 N. F. Carver and V. R. Lesser and D. L. McCue Focusing in plan recognition National Conference on Artificial Intelligence (AAAI 84) 1984 42--48 carve.lesse-1984:focusin:TR N. F. Carver and V. R. Lesser and D. L. McCue Focusing in plan recognition Dept C&IS, U of Massachusetts 1984 report 84-23 carve.lesse-1991:newframe:inbook: Norman Carver and Victor Lesser A New Framework for Sensor Interpretation: Planning to Resolve Sources of Uncertainty Proceedings of the National Conference on Artificial Intelligence 1991
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casle.crew-1989:tempostruc:inbook:21 R. T Casley and R. F. Crew and J. Meseguer and V. R. Pratt Temporal Structures Proc. Conf. on Category Theory and Computer Science 1989 Lecture Notes in Computer Science 389 21--51
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UMI NDS86-22242
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Rochester NY
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chapm-1988:reprein:TR D. Chapman Representation in Sonja AI Lab, MIT 1988 Extended Abstract
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Morgan Kaufmann
chapm.kaelb-1990:learnfrom:TR D. Chapman and L. P. Kaelbling Learning from delayed reinforcement in a complex domain Teleos research 1990 TR-90-11 December chapp-1987:blackbased:inbook:467 Steve G. Chappell A blackboard based system for context sensitive mission planning in an autonomous vehicle Proceedings of the 5th Unmanned Untethered Submersible Technology Symposium 1987 467--476 June
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chen.trive-1992:archiautom:inbook:925 C. X. Chen and M. H. Trivedi Architecture and automatic task planning for integrated sensor-based robots Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems 1992 925--932
Raleigh, NC
July
cheng-1988:algorfor:thesis Hsien-Te Cheng Algorithms for Partially Observable {M}arkov Decision Processes University of British Columbia 1988
British Columbia, Canada
cheng.smith-1994:generfeasi:inbook:1086 Cheng-Chung Cheng and Stephen F. Smith Generating Feasible Schedules under Complex Metric Constraints Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Scheduling 1086--1091
cheng.smith-1996:constsatis:inbook:45 Cheng-Chung Cheng and Stephen F. Smith A Constraint Satisfaction Approach to Makespan Scheduling B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 45--52 cheno-1991:onnp-ha:inbook:623 Stephen V. Chenoweth On the {NP}-Hardness of Blocks World Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
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chern-1972:progrfor:journal:61 A. L. Cherniavsky Program for timetable compilation by a look-ahead method Artificial Intelligence 1972 3 1 61--76 North Holland
chien-1994:towarintel:inbook:23 Steve Chien Towards an Intelligent Planning Knowledge Base Development Environment Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 23--27 AAAI Press, Menlo Park, California 0-929280-75-x chien-1996:inteltools:inbook:53 Steve A. Chien Intelligent Tools for Planning Knowledge Base Development and Verification B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 53--61 chien.gerva-1992:learnto:inbook:117 Steve A. Chien and Melinda T. Gervasio and Gerald F. DeJong Learning to Integrate Reactivity and Deliberation in Uncertain Planning and Scheduling Problems Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 117--121
Menlo Park, California
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dale.michi-1966:machiintel: Machine Intelligence 2 1966 Ella Dale and Donald Michie Edinburgh University Press danie-1974:and-ograph:inbook:818 Leslie Daniel And-or graphs and critical paths Intl. congress of the Intl. Federation for Information Processing (IFIP '74) 1974 818--822 danie-1977:plannmodif:TR Leslie Daniel Planning: Modifying non-linear plans Dept AI, Edinburgh University 1977 working paper 24 danie-1984:plannopera:inbook:423 Leslie Daniel Planning and operations research T. O'Shea and M. Eisenstadt Artificial Intelligence Harper and Row 1984 423--452
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danie.tate-1976:usingai: Leslie Daniel and Austin Tate Using {AI} techniques to aid in the construction of project networks 1976 danie.tate-1982:retroon:TR Leslie Daniel and Austin Tate A retrospective on the ``Planning: a joint {AI}/{OR} approach'' project Dept AI, Edinburgh University 1982 Working paper 125 a bundle of several papers darli-1972:deducplan:inbook:129 J. L. Darlington Deductive plan formation in higher-order logic Bernard Meltzer and Donald Michie Machine Intelligence 7 1972 129--137 Edinburgh University Press darwi-1995:strucgener:inbook:56 Adnan Darwiche Structured-Based Generation of Plans Extending Theories of Action: Formal Theory & Practical Applications: Papers from the 1995 AAAI Spring Symposium 1995 56--61 AAAI Press, Menlo Park, California 0-929280-90-3 darwi.levit:oarplgener: A. Darwiche and R. E. Levitt and B. Hayes-Roth {OARPLAN}: generating project plans by reasoning about objects, actions and resources listed as `recent paper' in flier for this journal, early 1990 Artificial intelligence for engineering design, analysis and manufacturing Academic press darwi.pearl-1994:symbocausa:inbook:41 Adnan Darwiche and Judea Pearl Symbolic Causal Networks for Reasoning about Actions and Plans Decision-Theoretic Planning: Papers from the 1994 Spring AAAI Symposium 1994 41--47 AAAI Press, Menlo Park, California 0-929280-70-9
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davis-1987:constpropa:journal:281 E. Davis Constraint Propagation with Interval Labels Artificial Intelligence 1987 32 281--331 North Holland
davis-1988:inferignor:inbook:786 E. Davis Inferring ignorance from the locality of visual perception National Conference on Artificial Intelligence of the American Association for AI (AAAI 88) 1988 786--790 davis-1992:semanfor:inbook:37 Ernest Davis Semantics for Tasks that Can Be Interrupted or Abandoned James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 37--44
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
davis-1993:defeacodes:inbook:15 William S. Davis Defeasible Codesignation Constraints for Planning Variables Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 15--19 AAAI Press, Menlo Park, California davis-1994:odoconst:thesis G. Davis {ODO}: {A} Constraint-Based Scheduler Founded on a Unified problem Solving Model Department of Industrial Engineering, University of Toronto 1994 Master's Thesis davis.bucha-1984:meta-knowl:inbook: R. Davis and B. G. Buchanan Meta-level knowledge B. G. Buchanan and E. H. Shortliffe Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project Addison--Wesley Publishing Company 1984
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davis.chien-1977:usingre-us:inbook:494 P. R. Davis and R. T. Chien Using and re-using partial plans International Joint Conference on Artificial Intelligence (IJCAI 5) 1977 494-- abstract: too short davis.chien-1977:usingre-us:TR P. R. Davis and R. T. Chien Using and re-using partial plans Coordinated science lab, U Illinois at Urbana 1977 June davis.fox-1994:odoconst:inbook: G. Davis and M. S. Fox {ODO}: {A} Constraint-Based Architecture for Representing and Reasoning about Scheduling Problems Proceedings of the 3rd Industrial Engineering Research Conference 1994
Atlanta, GA, USA
May
davis.morge-1989:ijcaiworks: {IJCAI} workshop on knowledge, perception and planning 1989 E. Davis and L. Morgenstern and K. Sanders
Detroit
August [includes papers by] Davis, Durfee, Goldweic & Roquette, Hendler, Lespe/rance, Morgenstern & Sanders, Rayner & Janson, Schoppers, Firby
davis.ritte-1987:schedoptim:inbook:231 L. Davis and F. Ritter Schedule optimization with probabilistic search IEEE Conf. on AI Applications 3 1987 231--236 davis.s-1993:odoconst:inbook: G. Davis and M. S. and Fox {ODO}: {A} Constraint-Based Scheduling Shell Proceedings of the Workshop on Production Planning, Scheduling and Control, IJCAI-93 1993
Chambery, France
August
davis.smith-1981:negotas:TR Randall Davis and Reid G. Smith Negotiation as a metaphor for distributed problem solving MIT AI 1981 MIT-AIM 624 May
davis.smith-1983:negotas:journal:63 Randall Davis and Reid G. Smith Negotiation as a metaphor for distributed problem solving Artificial Intelligence 1983 20 63--109 North Holland
daws.olive-1994:verifet-lo:inbook: C. Daws and A. Olivero and S. Yovine Verifying {ET-LOTOS} programs with {KRONOS} FORTE'94 1994
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dawso.siklo-1977:rolepre-p:inbook:465 Clive Dawson and Laurent Siklo/ssy The role of pre-processing in problem solving systems 5th International Joint Conference on Artificial Intelligence (IJCAI '77) 1977 465--471 day-1992:acquisearc:inbook:45 David S. Day Acquiring Search Heuristics Automatically for Constraint-Based Planning and Scheduling James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 45--51
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
dean-1983:timemap:TR Thomas L. Dean Time map maintenance Dept CS, Yale University 1983 CSD-RR-289 dean-1984:managtime:inbook: Thomas L. Dean Managing time maps Conf. of the Canadian Society for the Computational Study of Intelligence (CSCSI '84) 1984 dean-1984:planntempo:inbook:131 Thomas L. Dean Planning and temporal reasoning under uncertainty IEEE workshop on principles of knowledge-based systems 1984 131--
Denver
December
dean-1984:tnmsusers:TR T. L. Dean A {TNMS} User's Manual Dept CS, Yale University 1984 report dean-1985:tempoimage:thesis Thomas L. Dean Temporal imagery: an approach to reasoning about time for planning and problem solving Dept CS, Yale University 1985 October UMI NDS86-27245 dean-1985:tempoimage:TR Thomas L. Dean Temporal imagery: an approach to reasoning about time for planning and problem solving Dept CS, Yale University 1985 YALE/CSD/RR #433 dean-1985:temporeaso:inbook:1060 Thomas L. Dean Temporal reasoning involving counterfactuals and disjunctions International Joint Conference on Artificial Intelligence (IJCAI '85) 1985 1060--1062 dean-1986:intratime-:inbook:245 Thomas L. Dean Intractability and time-dependent planning Michael Georgeff and Amy Lansky Reasoning about actions and plans: proceeding of 1986 workshop Morgan Kaufmann 1986 245--266 dean-1987:intratime-:inbook:245 T. L. Dean Intractability and Time-Dependent Planning M. P. Georgeff and Amy Lansky Reasonning about Actions and Plans, Proceedings of the 1986 Workshop, Timberline, Oregon 1987 245--266 0-934613-30-3 dean-1987:plannexecu:inbook:29 T. L. Dean Planning, execution, and control Proc DARPA Knowledge Based Planning Workshop 1987 29--1ff
Austin TX
dean-1988:onvalue:inbook: Thomas L. Dean On the value of goals Jay Weber and Josh Tenenberg and J. Allen From formal systems to practical systems: Advance proc. Rochester planning workshop 1988
Rochester NY
October Dept CS, U Rochester
dean.boddy-1987:increcausa:inbook:196 Thomas Dean and M. Boddy Incremental causal reasoning National Conference on Artificial Intelligence of the American Association for AI (AAAI 87) 1987 196--201
dean.boddy-1987:reasoabout:journal:375 Thomas Dean and M. Boddy Reasoning about partially ordered events Artificial Intelligence 1987 36 375--399 North Holland
dean.boddy-1988:analytime-:inbook:49 Thomas Dean and Mark Boddy An Analysis of Time-Dependent Planning Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-88) 1988
Saint Paul, Minnesota, USA
August AAAI Press/MIT Press 0-262-51055-3 Planning 49--54
dean.body-1988:analytime-:inbook:49 T. Dean and M. Body An Analysis of Time-Dependent Planning Proc. of 6th National Conference on Artificial Intelligence 1988 49--54 dean.firby-1987:forbipaper:TR T. L. Dean and R. J. Firby and D. Miller The {FORBIN} paper Dept of Computer Science, Yale University 1987 550
dean.firby-1988:hieraplann:journal:381 T. Dean and J. Firby and D. Miller Hierarchical Planning Involving Deadlines, Travel Time and Resources Computational Intelligence 1988 4 4 381--398 FORBIN
dean.firby-1989:hieraplann:journal: T. Dean and J. Firby and D. Miller Hierarchical Planning Involving Deadlines, Travel Time and Resources Computational Intelligence 1989 3
dean.kaelb-1993:plannwith:inbook:574 Thomas Dean and Leslie Pack Kaelbling and Jak Kirman and Ann Nicholson Planning with Deadlines in Stochastic Domains Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93) 1993
Washington, DC
574--579 Describes the {\sc PLEXUS} algorithm for producing acceptable solutions to large {\sc MDP} problems quickly.
dean.kaelb-1995:plannunder:journal:35 Thomas Dean and Leslie Pack Kaelbling and Jak Kirman and Ann Nicholson Planning Under Time Constraints in Stochastic Domains Artificial Intelligence 1995 76 1-2 35--74
dean.kanaz-1988:probacausa:inbook:125 Thomas Dean and Keiji Kanazawa Probabilistic causal reasoning 7th Conf. of the Canadian Society for the Computational Study of Intelligence (CSCSI '88) 1988 125--132 dean.kanaz-1988:probatempo:inbook:524 T. Dean and K. Kanazawa Probabilistic temporal reasoning National Conference on Artificial Intelligence of the American Association for AI (AAAI 88) 1988 524--529 dean.kanaz-1995:decistheor: Thomas Dean and Keiji Kanazawa and Daphne Koller and Stuart Russell Decision Theoretic Planning: {P}art {I} 1995 Submitted to the Journal for Artificial Intelligence Research dean.kirma-1992:probanetwo:inbook:273 Thomas Dean and Jak Kirman and Keiji Kanazawa Probabilistic Network Representations fo Continuous-Time Stochastic Processes for Applications in Planning and Control James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 273--274
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
dean.lin-1995:decomtechn:inbook: Thomas Dean and Shieu-Hong Lin Decomposition Techniques for Planning in Stochastic Domains Proceedings of the 1995 International Joint Conference on Artificial Intelligence 1995
dean.mcder-1987:tempodata:journal:1 Thomas Dean and Drew McDermott Temporal data base management Artificial Intelligence 1987 32 1--55 North Holland
dean.siegl-1990:approto:inbook:132 Thomas Dean and Greg Siegle An Approach to Reasoning About Continuous Change for Applications in Planning Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) 1990
Boston, Massachusetts, USA
July AAAI Press/MIT Press 0-262-51057-X Planning 132--137
dean.wellm-1991:planncontr: T. L. Dean and M. P. Wellman Planning and Control Morgan Kaufmann 1991 deard.bouti-1994:integplann:inbook:55 Richard Dearden and Craig Boutilier Integrating Planning and Execution in Stochastic Domains Proceedings of the {AAAI} Spring Symposium on Decision Theoretic Planning 1994 55--61
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(JAB) good chapter on MDP covering policy iteration = LP, value iteration, and speedups
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desim.holli-1989:casestudi:inbook: R. Desimone and T. Hollidge Case studies in fleet operation modelling: an application of {AI} scheduling techniques Proc. 3 intl. conf. on industrial and commercial applications of AI and expert systems 1989
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desim.holli-1990:casestudi:TR R. Desimone and T. Hollidge Case studies in fleet operation modelling: an application of {AI} scheduling techniques AI Applications Inst., Edinburgh U 1990 AIAI-TR-78 desim.malle-1989:complconsi:inbook: R. Desimone and C. Mallen Complete, consistent goal sets: controlling the search for non-linear plan generation Proc. 1 intl. conf. on expert planning systems 1989
Brighton UK
June IEE
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donal-1987:onplann:TR Bruce Donald On planning: what is to be done? Dept. of Computer Science, Cornell Univ. 1987 87-890 December
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Seattle, WA
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doyle-1980:modelfor:TR Jon Doyle A model for deliberation, action and introspection AI lab, MIT 1980 AI-TR-581 doyle-1988:artifintel:TR J. Doyle Artificial intelligence and rational self-government CS dept, Carnegie-Mellon University 1988 CMU-CS-88-124 doyle.atkin-1986:generperce:inbook:81 R. J. Doyle and D. J. Atkinson and R. S. Doshi Generating perception requests and expectations to verify the execution of plans National Conference on Artificial Intelligence of the American Association for AI (AAAI 86)
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doyle.wellm-1994:repreprefe:inbook:69 Jon Doyle and Michael P. Wellman Representing Preferences as Ceteris Paribus Comparatives Decision-Theoretic Planning: Papers from the 1994 Spring AAAI Symposium 1994 69--75 AAAI Press, Menlo Park, California 0-929280-70-9 drabb-1988:execuplan:inbook: Brian Drabble Execution plan monitoring and associated structure Alvey planning SIG 8 1988
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drabb-1988:execuplan:TR Brian Drabble Execution plan monitoring and associated structure AIAI, Edinburgh University 1988 AIAI-TR-68 drabb-1988:intelexecu:thesis Brian Drabble Intelligent execution monitoring and error analysis in planning involving processes U Aston in Birmingham 1988 July drabb-1988:plannreaso:inbook: Brian Drabble Planning and reasoning with processes Alvey planning SIG 8 1988
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drabb-1988:plannreaso:TR Brian Drabble Planning and reasoning with processes AIAI, Edinburgh University 1988 AIAI-TR-56 drabb-1989:missisched:inbook: B. Drabble Mission scheduling for spacecraft: the diaries of {T}-{SCHED} Proc. 1 intl. conf. on expert planning systems 1989
Brighton UK
June IEE
drabb-1989:missisched:TR B. Drabble Mission scheduling for spacecraft: the diaries of {T}-{SCHED} AIAI, Edinburgh University 1989 AIAI-TR-72 drabb-1989:qualireaso:inbook: B. Drabble Qualitative reasoning for plan generation and execution Proc. 1 intl. conf. on expert planning systems 1989
Brighton UK
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drabb-1989:qualireaso:TR B. Drabble Qualitative reasoning for plan generation and execution AIAI, Edinburgh University 1989 AIAI-TR-73
drabb-1993:excal-:journal:1 B Drabble Excalibur --- {A} program for planning and reasoning with processes Artificial Intelligence 1993 62 1 1--40
drabb.coxhe-1988:errordetec:inbook:201 Brian Drabble and P. Coxhead Error detection and recovery in an uncertain environment IASTED intl. symp. on expert systems 1988 201--206
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drabb.gil-1995:acquicrite:inbook:36 Brian Drabble and Yolanda Gil and Austin Tate Acquiring Criteria for Plan Quality Control Integrated Planning Applications: Papers from the 1995 AAAI Spring Symposium 1995 36--40 AAAI Press, Menlo Park, California 0-929280-87-3 drabb.kirby-1992:o-plaopen:inbook:87 B. Drabble and R. Kirby and A. Tate {O}-Plan2: The Open Planning Architecture Proc. of the 1992 AAAI Spring Symposium on Practical Approaches to Scheduling and Planning 1992 87--91
Stanford, CA
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Seattle, WA
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drape.hanks-1994:probaplann:inbook:76 Denise Draper and Steve Hanks and Daniel Weld Probabilistic planning with information gathering and contingent execution Proceedings of the {AAAI} Spring Symposium on Decision Theoretic Planning 1994 76--82
Stanford, CA
drumm-1985:non-lplann:TR Mark E. Drummond Non-linear planning in terms of cause and effect Dept AI, Edinburgh University 1985 DAI research paper 251 drumm-1985:refinexten:inbook:1010 Mark E. Drummond Refining and extending the procedural net Proc. of the 9th International Joint Conference on Artificial Intelligence (IJCAI 85) 1985
Los Angeles, California
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drumm-1986:plannets:thesis Mark E. Drummond Plan nets: a formal representation of action and belief for automatic planning systems AI Applications Inst., Edinburgh University 1986 drumm-1986:repreactio:inbook: Mark E. Drummond A representation of action and belief for automatic planning systems Michael Georgeff and Amy Lansky Reasoning about actions and plans: proceeding of 1986 workshop 1986 Morgan Kaufmann drumm-1986:repreactio:TR Mark E. Drummond A representation of action and belief for automatic planning systems AI Applications Inst., Edinburgh University 1986 AIAI-TR-16 drumm-1988:goalorder:inbook:960 M. Drummond Goal Ordering in Partially Ordered Plans don't know 1988 960--965 drumm-1988:onlinea:TR Mark E. Drummond On linearity: An essay on the misuse of the word `linear' in {AI} planning AI Applications Inst., Edinburgh University 1988 AIAI-TR-42 drumm-1989:situacontr:inbook:103 Mark Drummond Situated control rules Proc. Intl. conf. on principles of knowledge representation and reasoning 1 1989 103--113 Morgan Kaufman drumm-1990:refinexten:inbook:667 Mark E. Drummond Refining and Extending the Procedural Net 1990 Readings in Planning J. Allen and J. Hendler and A. Tate Kaufmann
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drumm-1994:onpreco:inbook:6 Mark Drummond On Precondition Achievement and the Computational Economics of Automatic Planning C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
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drumm.bresi-1990:anytisynth:inbook:138 M. Drummond and J. Bresina Anytime Synthetic Projection: Maximizing Probability of Goal Satisfaction Proc. of 8th National Conference on Artificial Intelligence (AAAI 90) 1990
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firby-1993:archifor:inbook: R. J. Firby An Architecture for {A} Synthetic Vacuum Cleaner Proc. of the AAAI Fall Symp. Series Workshop on Instantiating Real-World Agents 1993
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firby-1994:archirepre:inbook: R. J. Firby Architecture, Representation and Integration: An Example From Robot Navigation Proc. of the AAAI Fall Symp. Series Workshop on Control of the Physical World by Intelligent Agents 1994
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firby-1994:tasknetwo:inbook: R. J. Firby Task Networks for Controlling Continuous Processes Proc. of the Second Int. Conf. on AI Planning Systems 1994
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firby.mcder-1987:represolvi:inbook: R. James Firby and D. V. McDermott Representing and solving temporal planning problems N. Cercone and G. McCalla The knowledge frontier Springer verlag 1987 14 firby.proko-1995:planrepre:inbook: R. J. Firby and P. Prokopowicz and M. Swain Plan Representations for Picking Up Trash Proc. of the Int. Joint Conf. on Artificial Intelligence 1995
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firby.slack-1995:taskexecu:inbook: R. J. Firby and M. G. Slack Task Execution: Interfacing to Reactive Skill Networks Proc. of the AAAI Spring Symp. on Lessons Learned from Implememted Software Architectures for Physical Agents 1995
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fouls.li-1991:quanttheor:inbook:673 David E. Foulser and Ming Li and Qiang Yang A Quantitative Theory for Plan Merging Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
July AAAI Press/MIT Press 0-262-51059-6 Hierarchy in Planning 673--678
fox-1981:factomodel:inbook:1058 M. S. Fox Factory modelling, simulation and scheduling in the intelligent management system International Joint Conference on Artificial Intelligence (IJCAI 81) 1981 1058-- fox-1981:reasowith:inbook:313 M. S. Fox Reasoning with incomplete information in a resource-limited environment 7th International Joint Conference on Artificial Intelligence (IJCAI 81) 1981 313--318 fox-1983:constsearc:thesis M. S. Fox Constraint-directed search: a case study of job-shop scheduling Dept. CS, Carnegie-Mellon University 1983 UMI DA 84-06442 fox-1983:constsearc:TR M. S. Fox Constraint-directed search: a case study of job-shop scheduling Dept. CS, Carnegie-Mellon University 1983 CMU-CS-83-161 fox-1983:intelmanag:inbook:105 M. S. Fox The intelligent management system: an overview Sol H. G. Processes and tools for decision support North-Holland 1983 105--130 fox-1983:intelmanag:TR M. S. Fox The intelligent management system: an overview Robotics Inst, Carnegie-Mellon University 1983 tech report fox-1986:obseron:inbook:172 M. S. Fox Observations on the role of constraints in problem solving 6th Conf. of the Canadian Society for the Computational Study of Intelligence (CSCSI 86) 1986 172--187
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fox-1987:constsearc: M. S. Fox Constraint-directed search: a case study of job-shop scheduling Pitman/Morgan Kaufman 1987 Research notes in AI fox-1988:commoreaso:TR Maria Fox Commonsense reasoning in a hierarchical non-linear planner Division of CS, Hatfield Polytechnic, UK 1988 fox.allen-1982:job-ssched:inbook:155 M. S. Fox and Brad Allen and Gary Strohm Job-shop scheduling: an investigation in constraint-directed reasoning National Conference on Artificial Intelligence of the American Association for AI (AAAI 82) 1982 155--158 fox.allen-1983:isisconst:TR M. S. Fox and B. P. Allen and S. F. Smith and G. A. Strohm {ISIS}: a constraint-directed reasoning approach to job shop scheduling: system summary Robotics Institute, Carnegie-Mellon University 1983 CMU-RI-TR-83-8
fox.clark-1990:usingpredi:journal:347 John Fox and D. A. Clark and A. J. Glowinski and M. J. O.'Neil Using predicate logic to integrate qualitative reasoning and classical decision theory IEEE trans. on systems, man and cybernetics 1990 20 2 347--357
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fox.sadeh-1989:constheuri:inbook:309 Mark S. Fox and Norman Sadeh and Can Baykan Constrained Heuristic Search Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89) 1989 309--315 fox.sadeh-1990:whyis:inbook: Mark S. Fox and Norman Sadeh Why Is Scheduling Difficult? {A} {CSP} Perspective Proceedings of the 1990 European Conference on Artificial Intelligence (ECAI-90) 1990 fox.smith-1983:isis-:TR M. S. Fox and S. Smith {ISIS} - a constraint-directed reasoning approach to job-shop scheduling Robotics Inst., Carnegie-Mellon University 1983 CMU-RI-TR-83-8 fox.smith-1983:isisconst:inbook:76 M. S. Fox and S. Smith and Brad Allen and Gary Strohm and F. C. Wimberly {ISIS}: a constraint-directed reasoning approach to job-shop scheduling Proc. trends and applications, 1983 : automating intelligent behavior, applications and frontiers 0818604727
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fraic.laugi-1991:online:inbook:432 Th. Fraichard and C. Laugier On line reactive planning for a non holonomic mobile in a dynamic world Proc. of the IEEE Int. Conf. on Robotics and Automation 1991 432--437
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frase.conwa-1988:usingon-bo:inbook:173 J. Fraser and S. Conway and K. Currie and M. Drummond and R. Lockwood and A. Macintosh and A. Tate Using On-Board {AI} to Increase Spacecraft Autonomy Proc. of the International Conference on Human-Machine Interaction and Artificial Intelligence in Aeronautics and Space 1988 173--185
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gecse.csiri-1989:interon:380: International Conference on the Fundamentals of computation theory ({FTC} 89) 1989 Ferenc Gecseg and Janos Csirik and Janos Demetrovics 380 Lecture notes in computer science
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geffn-1996:qualimodel:inbook:1176 Hector Geffner A Qualitative Model for Temporal Reasoning with Incomplete Information Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
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geib.webbe-1993:conseincor:inbook:39 Christopher Geib and Bonnie Webber A Consequence of Incorporating Intentions in Means-End Planning Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 39--43 AAAI Press, Menlo Park, California geist.begue-1994:pvm3:TR A. Geist and A. Beguelin and J. Dongarra and W. Jiang and R. Manchek and V. Sunderam {PVM} 3 User's Guide and Reference Manual Oak Ridge National Laboratory 1994 ORNL/TM-12187 September genes-1979:roleplans:inbook: M. R. Genesereth The role of plans in automated consultation International Joint Conference on Artificial Intelligence (IJCAI 79) 1979 genes-1982:roleplans:inbook: M. R. Genesereth The role of plans in intelligent teaching systems D. Sleeman and J. S. Brown Intelligent tutoring systems Academic press 1982
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American Association for Artificial Intelligence, Menlo Park, CA
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georg-1983:commuinter:TR Michael Georgeff Communication and interaction in multi-agent planning SRI International 1983 AI center technical note SRI AI 313 georg-1984:expersyste:inbook:153 Michael Georgeff An expert system for representing procedural knowledge Proc Joint Services Workshop on AI in Maintenance 1984 153--170 georg-1984:expersyste:TR Michael Georgeff Expert systems for representing procedural knowledge SRI International 1984 SRI tech report AD-P003923/0 georg-1984:proceexper:inbook:121 M. Georgeffl Procedural expert systems Proceedings of AAAI-84 1984 121--125 georg-1984:theoractio:inbook:121 Michael P. Georgeff A Theory of Action for Multiagent Planning Proceedings of the 1984 National Conference on Artificial Intelligence 1984 121--125
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georg-1987:manyagent:inbook: Michael P. Georgeff Many Agents are Better than One Proceedings of the 1987 Workshop on the Frame Problem in Artificial Intelligence 1987
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georg-1987:plann:journal:359 Michael P. Georgeff Planning Annual Review of Computer Science 1987 2 359--400
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georg-1988:embedreal-:inbook: Michael Georgeff An embedded real-time reasoning system Proc. 12 IMACS world congress 1988
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georg-1988:embedreaso:inbook: Michael Georgeff An embedded reasoning and planning system Jay Weber and Josh Tenenberg and J. Allen From formal systems to practical systems: Advance proc. Rochester planning workshop Dept CS, U Rochester 1988
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georg-1988:reasoabout:inbook: M. P. Georgeff Reasoning about plans and actions H. E. Shrobe Exploring artificial intelligence: survey talks from the natl. conf. on AI Morgan Kaufman 1988 0-934613-69-9 georg.bonol-1983:proceexper:inbook:151 U. Georgeff and M. Bonollo Procedural expert systems Proc 8th International Joint Conference on Artificial Intelligence (IJCAI 83) 1983 151ff georg.ingra-1988:reseaon: M. P. Georgeff and F. F. Ingrand Research on procedural reasoning systems 1988 Final Report, Phase 1, AI Center, SRI International, Menlo Park, California. georg.ingra-1988:reseaon:TR M. Georgeff and F. F. Ingrand Research on procedural reasoning systems AI center, SRI International 1988 Final report, phase 1 for NASA Ames research center, Moffet Field, CA October georg.ingra-1989:decisin:inbook:972 Michael P. Georgeff and Francois Felix Ingrand Decision-making in an embedded reasoning system Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI-89) 1989 972--978
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georg.ingra-1990:real-reaso:TR M. Georgeff and F. F. Ingrand Real-time reasoning: the monitoring and control of spacecraft systems SRI International 1990 AI center technical note SRI AI 478 January georg.ingra-1993:decisin:inbook: M. Georgeff and F. Ingrad Decision-making in an Embedded Reasoning System Proc. of 11th National Conference on Artificial Intelligence 1993 -- georg.lansk-1985:procelogic:inbook:516 Michael Georgeff and Amy Lansky and P. Bessiere A procedural logic International Joint Conference on Artificial Intelligence (IJCAI 85) 1985 August 516--523
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georg.lansk-1985:procelogic:TR Michael Georgeff and Amy Lansky A procedural logic SRI International 1985 AI center technical note georg.lansk-1986:bdiseman:TR Michael Georgeff and Amy Lansky A bdi semantics for the procedural reasoning system SRI International 1986 AI center technical note georg.lansk-1986:proceknowl:inbook: Michael P. Georgeff and Amy L. Lansky Procedural Knowledge Proceedings of the {IEEE} Special Issue on Knowledge Representation 1986
georg.lansk-1986:proceknowl:journal:1383 Michael Georgeff and Amy Lansky Procedural knowledge Proceedings of the IEEE, Speicial Issue on Knowledge Representation 1986 74 10 1383--1398 October
georg.lansk-1986:reasoabout: Reasoning about actions and plans: Proceeding of 1986 workshop 1986 Michael Georgeff and Amy Lansky
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georg.lansk-1986:reasoplann:TR M. Georgeff and M. Lansky and A. Schoppers Reasoning and planning in dynamic domains: an experiment with a mobile robot AI Center, SRI International 1986 Technical Note 380 georg.lansk-1986:systefor:TR Michael Georgeff and Amy Lansky A system for reasoning in dynamic domains: Fault diagnosis on the space shuttle SRI International 1986 AI center technical note 375
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georg.lansk-1987:reactreaso:inbook:677 Michael P. Georgeff and Amy L. Lansky Reactive reasoning and planning: an experiment with a mobile robot Proceedings of the 1987 National Conference on Artificial Intelligence (AAAI 87) 1987 677--682
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georg.lansk-1987:reasoplann:inbook: Michael Georgeff and Amy Lansky and M. Schoppers Reasoning and planning in dynamic domains: An experiment with a Mobile Robot G. Rodriguez Workshop on Space Telerobotics 1987
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georg.lansk-1987:reasoplann:TR Michael Georgeff and Amy Lansky and M. Schoppers Reasoning and planning in dynamic domains: An experiment with a Mobile Robot SRI International 1987 AI center technical note 380 Flakey georg.lansk-1987:theoractio:inbook:205 M. P. Georgeff and A. L. Lansky A theory of action for multi-agent planning Proc. of the Nat. Conf. on Artificial Intelligence 1987 205--209
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gerev.schub-1993:temporeaso:journal:21 A. Gerevini and L. Schubert and S. Schaeffer \protect{T}emporal Reasoning in \protect{TimeGraph I-II} SIGART Bulletin 1993 4 3 21--25 July ACM press
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gerev.schub-1994:onpoint:journal:347 A. Gerevini and L. Schubert On Point-based Temporal Disjointness Artificial Intelligence 1994 70 347--361 Elsevier
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gerev.schub-1996:compuparam:inbook:94 Alfonso Gerevini and Lenhart Schubert Computing Parameter Domains as an Aid to Planning B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 94--101 gertn.webbe-1996:biastowar:inbook:1133 Abigail S. Gertner and Bonnie L. Webber A Bias towards Relevance: Recognizing Plans where Goal Minimization Fails Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
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gerva.dejon-1992:complsched:inbook:122 Melinda T. Gervasio and Gerald F. DeJong Completable Scheduling: An Integrated Approach to Planning and Scheduling Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 122--126
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gerva.dejon-1996:complplann:inbook:13 Melinda T. Gervasio and Gerald F. DeJong Completable Planning: {A} Curative Learning Approach to the Imperfect Theory Problem Planning with Incomplete Information for Robot Problems: Papers from the 1996 AAAI Spring Symposium 1996 13--16 AAAI Press, Menlo Park, California 1-57735-006-5
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gil-1993:learnplann:inbook:1 Yolanda Gil Learning Planning Operators by Exploration and Experimentation Learning Action Models: Papers from the 1993 AAAI Workshop 1993 1--4
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gillu-1989:logicfor:inbook:197 Gil-Luezas A logic for non-deterministic functional programming: extended abstract Ferenc Gecseg and Janos Csirik and Janos Demetrovics International Conference on the Fundamentals of computation theory (FTC 89) 1989 Lecture notes in computer science 380 197--209
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ginsb-1986:possiworld:inbook:291 Matthew L. Ginsberg Possible worlds planning Michael Georgeff and Amy Lansky Reasoning about actions and plans: Proceeding of 1986 workshop 1986
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ginsb-1989:univeplann:journal:61 M. L. Ginsberg Universal planning research: a good or bad idea? AI magazine 1989 10 4 61--62
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gonza-1993:succerefin:inbook:42 Ralph E. Gonzalez Successive Refinement of Empirical Models Learning Action Models: Papers from the 1993 AAAI Workshop 1993 42--46
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AAAI Press 0-929280-66-0
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hammo-1986:case-plann:thesis K. J. Hammond Case-based Planning: {A}n Integrated Theory of Planning, Learning, and Memory Yale University 1986 YALEU/CSD/RR \#488. hammo-1986:case-plann:TR K. J. Hammond Case-Based Planning: An Integrated Theory of Planning, Learning and Memory Dept. CS, Yale U 1986 YALEU/CSD/RR#488 hammo-1986:chefmodel:inbook:267 K. J. Hammond {CHEF}: {A} Model of Case-Based Planning National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 267--271
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hammo-1987:explarepai:inbook:109 K. J. Hammond Explaining and repairing plans that fail 10th International Joint Conference on Artificial Intelligence (IJCAI) 1987 109--114
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hammo-1988:case-plann:inbook:17 K. J. Hammond Case-Based Planning Proc. of a Workshop on Case-Based Reasoning 1988 17--20
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hammo-1989:oppormemor:inbook:504 K. J. Hammond Opportunistic memory Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (IJCAI 89) 1989 504--510
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hammo.conve-1990:integplann:inbook:292 K. Hammond and T. Converse and C. Martin Integrating Planning and Acting in a Case-Based Framework Proc. of AAAI-90 1990 292--297
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hammo.conve-1990:towartheor:inbook:354 K. Hammond and T. Converse and M. Marks Towards a Theory of Agency Proc. of the Workshop on Innovative Approaches to Planning 1990 354--365
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hammo.conve-1991:stabienvir:inbook:787 K. J. Hammond and T. M. Converse Stabilizing Environments to Facilitate Planning and Activity: An Engineering Argument Proc. of AAAI-91 1991 787--793
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hammo.conve-1993:towartheor:inbook:351 K. Hammond and T. Converse and M. Marks Toward a Theory of Agency S. Minton Machine Learning Methods for Planning Kaufmann 1993 351--396
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hammo.hurwi-1988:extradiagn:inbook:169 K. J. Hammond and N. Hurwitz Extracting diagnostic features from explanations Proceedings of the DARPA Workshop on Case-Based Reasoning 1988 169--178
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ieeecompu-1983:trendappli: Proc. trends and applications, 1983 : automating intelligent behavior, applications and frontiers 1983 0818604727
Gaithersburg, Maryland, USA
May IEEE Computer Society IEEE Computer Society Press
ieeecompu-1984:firston: Proc. First Conference on Artificial Intelligence Applications 1984
Denver Tech Center
December IEEE Computer Society in cooperation with American Association for Artificial Intelligence IEEE Computer Society Press
ihrig.kambh-1994:derivrepla:inbook:992 Laurie H. Ihrig and Subbarao Kambhampati Derivation Replay for Partial-Order Planning Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2 992--997
Seattle, Washington, USA
August AAAI Press/MIT Press Causal-Link Planning 0-262-51078-2 http://enws318.eas.asu.edu/pub/rao/
ihrig.kambh-1996:desigimple:inbook:849 Laurie H. Ihrig and Subbarao Kambhampati Design and Implementation of a Replay Framework Based on a Partial Order Planner Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Learning, Planning 849--854
ihrig.kambh-1996:explaappro:inbook:395 L. Ihrig and S. Kambhampati An Explanation-Based Approach to Improve Retrieval in Case-Based Planning M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Seeing and Learning 395--406 ingra.chati-1996:prshigh:inbook:43 F. F. Ingrand and R. Chatila and R. Alami and F. Robert {PRS}: {A} High Level Supervision and Control Language for Autonomous Mobile Robots Proc. of the IEEE Int. Conf. on Robotics and Automation 1996 43--49
Minneapolis
April
ingra.georg-1990:managdelib:inbook:284 F. F. Ingrand and M. P. Georgeff Managing Deliberation and Reasoning in Real-Time {AI} Systems Proc. of DARPA Workshop on Innovative Approaches to Planning, Scheduling and Control 1990
San Mateo, CA
284--291
inter.rocho-1994:activresch:journal:87 Leslie D. Interrante and Daniel M. Rochowiak Active rescheduling for automated guided vehicle systems Intelligent Systems Engineering 1994 3 2 87--100
irani-1987:subgoorder:inbook:1018 K. B. Irani and others Subgoal ordering and goal augmentation for heuristic problem solving International Joint Conference on Artificial Intelligence (IJCAI 87) 1987 1018--1024
irani.yoo-1988:methofor:journal:676 Keki B. Irani and Suk I. Yoo A methodology for solving problems: problem modeling and heuristic generation IEEE Transactions on Pattern Matching and Machine Intelligence 1988 10 5 676--686 September
ivano.kafar-1980:desigprinc:journal:1023 V. A. Ivanov and V. V. Kafarov and V. L. Perov and A. A. Reznichenko Design Principles for Chemical Production Startup Algorithms Automatic Remote Control 1980 41 1023--1032
ivano.kafar-1980:onalgor:journal:104 V. A. Ivanov and V. V. Kafarov and V. L. Perov and A. A. Reznichenko On Algorithmization of the Start-Up of Chemical Productions Engineering Cybernetics 1980 18 104--110
iwasa.fried-1982:spexsecon:inbook:341 Yumi Iwasaki and P. Friedland {SPEX}: a second-generation experiment design system National Conference on Artificial Intelligence of the American Association for AI (AAAI 82) 1982 341--344
j.e-1996:usingsipe-:journal:11 Lee T. J. and Wilkins D. E Using {SIPE}-2 to integrate planning for military air campaigns IEEE Expert 1996 11 6 11--12 December http://www.ai.sri.com/\~sipe/ieee-ifd4.html
j.s-1987:advanin: Hallam J. and Mellish C. S. Advances in artificial intelligence John Wiley 1987 j.s-1989:whatis: Horvitz E. J. and Russell S. What is to be done? 1989 j.y.halpe.moses-1995:reasoabout: R. Fagin an J. Y. Halpern and Y. Moses and M. Y. Vardi Reasoning about Knowledge MIT Press 1995 jacks-1990:specitimed:TR D. M. Jackson Specifying timed communicating sequential processes using temporal logic Programming research group, Oxford U 1990 PRG-TR-5-90 jacob.kiefe-1973:robotdecis:inbook:402 Walter Jacobs and Maxine Kiefer Robot decisions based on maximizing utility 3rd International Joint Conference on Artificial Intelligence (IJCAI 73) 1973 402--410 jacop-1993:lookat:inbook:62 Eric Jacopin A Look at Function Symbols and Planning Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 62--66 AAAI Press, Menlo Park, California jacop.puget-1990:fromtweak:TR E. Jacopin and J. F. Puget From {TWEAK} to {PWEAK}: reducing the non-linear planning framework universite de Paris 6, LAFORIA 1990 rapport 29/90 james-1981:co-opplann:thesis Nick James Co-operating planning systems Dept CS, Essex U 1981 {MSc} Thesis janak.pried-1992:genereffec:inbook:72 Bhaskar Janakiraman and Armand Prieditis Generating Effective Project Scheduling Heuristics by Abstraction and Reconstitution Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 72--76
Menlo Park, California
AAAI Press 0-929280-32-6
janle-1987:modelchang:inbook: Lawrence Janlert Modelling change - the frame problem Zenon Pylyshyn The robot's dilemma: the frame problem in AI Ablex 1987 jeffr-1965:logicdecis: R. Jeffrey The logic of decision McGraw-Hill 1965 jeffr-1983:logicdecis: R. Jeffrey The logic of decision U Chicago Press 1983 jeon.park-1996:objecorien:inbook:706 Y. Jeon and J. Park and I. Song and Y.-J Cho and S.-R. Oh An Object Oriented Implementation of Behavior Based Control Architecture Proc. of the IEEE Int. Conf. on Robotics and Automation 1996 706--711
Minneapolis
April
jiang-1988:intenquant:inbook:444 Y. J. Jiang Intension, Quantified Beliefs and Epistemic Resolution Z. W. Ras and L. Saitta Methodologies for Intelligent Systems, 3 North-Holland 1988 444--453
New York
jiang-1990:epistlogic:inbook:372 Y. J. Jiang Epistemic Logic, Probability and Multi-Agent Nonmonotonic Reasoning Proc. of the 9th ECAI 1990 372--377
Stockholm, Sweden
jiang-1990:epistlogic:journal: Y. J. Jiang Epistemic logic, probability and multi-agent nonmonotonic reasoning J. computer and artificial intelligence 1990
jiang-1990:epistmodel:journal:33 Y. J. Jiang An Epistemic Model of Logic Programming New Generation Computing 1990 8 33--59
jiang-1991:firststep:journal:419 Y. J. Jiang A First Step Towards Autoepistemic Logic Programming Computers and Artificial Intelligence 1991 10 419--441
jiang-1993:onautoe:journal:107 Y. J. Jiang On the Autoepistemic Reconstruction of Logic Programming New Generation Computing 1993 11 107--124
jiang-1994:onmulti:inbook:317 Y. J. Jiang On Multiagent Autoepistemic Logic- An Extrospective View J. Doyle and E. Sandewall and P. Torasso Principles of Knowledge Representation and Reasoning: Proc. of the Fourth International Conference (KR'94) Kaufmann 1994 317--328
San Francisco, CA
jiang.azarm-1989:metalogic:inbook:477 Y. J. Jiang and N. Azarmi Meta Logic Programming for Epistemic Notions H. Abramson and M. H. Rogers Meta-Programming in Logic Programming MIT Press 1989 477--499
Cambridge, MA
jiang.richa-1994:nogoobackm:inbook:21 Y. Jiang and T. Richards and B. Richards Nogood Backmarking with Min-Conflict Repair in Constraint Satisfaction and Optimization A. Borning Principles and Practice of Constraint Programming Springer 1994 21--39
Berlin, Heidelberg
john.r.josep.bchan-1989:explacontr:journal:9 John R. Josephson {B. Chandrasekaran, Michael C. Tanner} Explaining Control Strategies in Problem Solving IEEE Expert 1989 4 1 9--24 Spring
johns-1986:intendiagn: W. Lewis Johnson Intention-based diagnosis of novice programming errors Morgan Kaufmann 1986 Research notes in AI PROUST johns-1992:spikeai:inbook:1 Mark D. Johnston Spike: {AI} Scheduling for Hubble Space Telescope After 18 Months of Orbital Operations Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 1--5
Menlo Park, California
AAAI Press 0-929280-32-6
johns.schub-1982:planncontr:inbook:194 D. T. Johnson and L. K. Schubert A planning control strategy that allows for the cost of planning Proceedings of the 6th Eur. Meet. on Cybernetics and Systems Research 1982 paper 194
Univ. of Vienna
April 13-16
johns.solow-1983:prousknowl:TR W. Lewis Johnson and E. Soloway {PROUST}: knowledge-based program understanding Dept CS, Yale U 1983 CSD/RR #285 August jones-1977:perspon: A. K. Jones Perspectives on computer science Academic press 1977 jones-1989:schedusing:thesis S. D. Jones Scheduling Using Linear Programming and Application In {AI} Planning Essex University 1989 October jones-1994:reactas:inbook: S. D. Jones Reactions as Actions HCM SMARTnet Workshop 1994
ISPRA, Italy
April
jones-1997:robustask:thesis S. D. Jones Robust Task Achievement INPG 1997
Grenoble, France
May GRAVIR-IMAG
jones.ander-1997:appeabased:inbook: S. D. Jones and C. S. Andersen and J. L. Crowley Appearance Based Processes for Visual Navigation Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems 1997
Grenoble, France
September
jones.aylet-1993:domaiconfi:inbook: S. D. Jones and R. S. Aylett Domain configuration for a task planner Proc. of the UK Planning and Scheduling SIG Workshop 1993 May jones.crowl-1995:robustask:inbook: S. D. Jones and J. L. Crowley Robust Task Achievement Proc. of the UK Planning and Scheduling SIG Workshop 1995
Colchester, Essex
November
jones.mullh-1992:develintel:inbook: S. D. Jones and J. Mullhi and G. Robinson The development of an intelligent monitoring and control system Proc. of the IEEE Conf. on AI in Real Time Control 1992
Delft, Netherlands
jones.robin-1992:applireal-:inbook: S. D. Jones and G. Robinson Application of Real-time knowledge based systems in the process and manufacturing industries Proc. of the IEE Symposium on Real-Time Expert Systems 1992
London, UK
jones.wray-1994:plannin:inbook:83 Randolph M. Jones and Robert Wray and Michael van Lent and John E. Laird Planning in the Tactical Air Domain Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 83--87 AAAI Press, Menlo Park, California 0-929280-75-x jonss.backs-1994:tractplann:inbook:998 Peter Jonsson and Christer Backstrom Tractable Planning with State Variables by Exploiting Structural Restrictions Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Causal-Link Planning 998--1003
jonss.backs-1996:incriplann:inbook:79 P. Jonsson and C. Backstrom Incrimental Planning M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Incrimental Planning and Execution 79--90 jonss.backs-1996:lineaappro:inbook:1235 Peter Jonsson and Christer Backstrom A Linear-Programming Approach to Temporal Reasoning Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Planning, Temporal Reasoning 1235--1241
jonss.backs-1996:onsize:inbook:1182 Peter Jonsson and Christer Backstrom On the Size of Reactive Plans Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Planning, Handling Uncertainty 1182--1187
josep.goswa-1989:relatcompu:TR M. Joseph and A. Goswami Relating computation and time Dept CS, U Warwick 1989 RR 138 February
joshi.chang-1986:proceplann:journal: Sanjay Joshi and T. C. Chang and C. Richard Liu Process planning formalization in an {AI} framework International Journal of AI in engineering 1986 1 1
josli.polla-1994:leastflaw:inbook:1004 David Joslin and Martha E. Pollack Least-Cost Flaw Repair: {A} Plan Refinement Strategy for Partial-Order Planning Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Causal-Link Planning 1004--1009
josli.polla-1996:isearly:inbook:1188 David Joslin and Martha E. Pollack Is ``Early Commitment'' in Plan Generation Ever a Good Idea? Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Planning, Search 1188--1201
josli.polla-1996:passiactiv:inbook:37 D. Joslin and M. E. Pollack Passive and Active Decision Posponement in Plan Generation M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Search Spaces 37--48 jung.badle-1992:postuplann:inbook:279 Moon R. Jung and Norman I. Badler Posture Planning for Agent Animation James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 279--280
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kaban-1990:synthreact:inbook:164 Froduald Kabanza Synthesis of Reactive Plans for Multi-Path Environments Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) 1990
Boston, Massachusetts, USA
July AAAI Press/MIT Press 0-262-51057-X Planning 164--169
kaban-1992:reactplann:thesis F. Kabanza Reactive Planning of Immediate Actions D\'epartement d'informatique, Universite de Li\`ege, Belgium 1992 kaban-1995:synchmulti:inbook:217 F. Kabanza Synchronizing Multiagent Plans Using Temporal Logic Specifications Proc. of First International Conference on Multi-Agent Systems (ICMAS) 1995 217--225 kaban-1996:onsynth:inbook:86 F. Kabanza On the Synthesis of Situation Control Rules under Exogeneous Events Theories of Action, Planning, and Robot Control: Bridging the Gap: Proceedings of the 1996 AAAI Workshop 1996 86--94
Menlo Park, California
AAAI Press 1-57735-021-9
kaban-1997:plannverif:inbook:122 F. Kabanza Planning and Verifying Reactive Plans (Position Paper) AAAI-97 Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control 1997 122--123 AAAI Press
kaban.barbe-1997:planncontr:journal:67 F. Kabanza and M. Barbeau and R. St-Denis Planning Control Rules for Reactive Agents Artificial Intelligence 1997 95 1 67--113
kaban.steve-1990:handlinfin:inbook:392 F. Kabanza and J. M. St\'evenne and P. Wolper Handling Infinite Temporal Data (Extended Abstract) Proc. of the Ninth Symposium on Principles of Database Systems 1990 392--403
Nashville, Tenessee, USA
ACM Press
kaban.steve-1995:handlinfin:journal:3 F. Kabanza and J.-M. St\'evenne and P. Wolper Handling infinite temporal data Journal of Computer and System Sciences 1995 51 1 3--17 August
kaelb-1987:archifor:inbook:395 Leslie Kaelbling An architecture for intelligent reactive systems Michael Georgeff and Amy Lansky Reasoning about actions and plans: Proceeding of 1986 workshop Morgan Kaufmann 1987 395--410
Temberline, Oregon
kaelb-1988:goalsas:inbook:60 Leslie Kaelbling Goals as parallel program specifications National Conference on Artificial Intelligence of the American Association for AI (AAAI 88) 1988 60--65 GAPPS
kaelb-1993:foundlearn:journal:131 L. P. Kaelbling Foundations of learning in autonomous agents Robotics and Autonomous Systems 1993 8 131--144 Autonomous systems, robot, task planning Elsevier Science Publishers (North Holland)
kaelb.inter-1988:goalsas:inbook:60 Leslie Pack Kaelbling and SRI International and Stanford University Goals as Parallel Program Specifications Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-88) 1988
Saint Paul, Minnesota, USA
August AAAI Press/MIT Press 0-262-51055-3 Planning 60--65
kaelb.littm-1995:plannactin:TR Leslie Pack Kaelbling and Michael L. Littman and Anthony R. Cassandra Planning and Acting in Partially Observable Stochastic Domains Brown University 1995 CS-96-08
Providence, RI
http://www.cs.duke.edu/\~mlittman/docs/pomdp-ai2.ps
kaelb.rosen-1989:actioplann:TR L. P. Kaelbling and S. J. Rosenschein Action and Planning in Embedded Agents Teleos Research 1989 TR-90-08 November kaelb.rosen-1990:actioplann:inbook:35 L. Kaelbling and S. Rosenschein Action and planning in embedded agents P. Maes Reasoning about Actions and Plans Elsevier 1990 35--48
kaelb.rosen-1990:actioplann:journal: L. Kaelbling and S. Rosenschein Action and planning in embedded agents Robotics and automation 1990 6
kaemm.allar-1987:automreaso:inbook:809 W. Kaemmerer and J. Allard An automated reasoning technique for providing moment-by-moment advice concerning the operation of a process AAAI-87 1987 809ff
kahn.gorry-1977:mechatempo:journal:87 Kenneth Kahn and G. Anthony Gorry Mechanising temporal knowledge Artificial Intelligence 1977 9 87--108
kakiu.uehar-1987:plan-text:inbook:1 T. Kakiuchi and K. Uehara and J. Toyoda Plan-based text generation in an on-line help system Eiiti Wada Logic programming '86 : proceedings of the 5th Conference 1987 Lecture notes in computer science 264 1--11
Japan
Springer-Verlag
kamar-1983:timeforma:thesis F. Kamareddine Time and formalization in {AI} planning Dept CS, Essex U 1983 {MSc} thesis kambh-1988:approfor:TR Subbarao Kambhampati An Approach for Flexible Reuse of Plans Dept CS, U Maryland, jun 1988 1988 report June kambh-1989:flexireuse:thesis Subbarao Kambhampati Flexible Reuse and Modification in Hierarchical Planning: {A} Validation Structure Based Approach University of Maryland 1989 kambh-1989:flexireuse:TR Subbarao Kambhampati Flexible Reuse and Modification in Hierarchical Planning: {A} Validation Structure Based Approach Dept CS, U MaryLand 1989 CS-TR-2334 October kambh-1990:mappiretri:inbook:170 Subbarao Kambhampati Mapping and Retrieval During Plan Reuse: {A} Validation Structure Based Approach Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) 1990
Boston, Massachusetts, USA
July AAAI Press/MIT Press 0-262-51057-X Planning 170--175
kambh-1990:theorplan:inbook:176 Subbarao Kambhampati A Theory of Plan Modification Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) 1990
Boston, Massachusetts, USA
July AAAI Press/MIT Press 0-262-51057-X Planning 176--182
kambh-1992:charamulti:inbook:116 Subbarao Kambhampati Characterizing Multi-Contributor Causal Structures for Planning James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 116--125
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kambh-1993:onutili:inbook:67 Subbarao Kambhampati On the Utility of Systematicity: Understanding Tradeoffs Between Redundancy and Commitment in Partial-Ordering Planning Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 67--72 AAAI Press, Menlo Park, California kambh-1995:admispruni:inbook:1627 Subbarao Kambhampati Admissible Pruning Strategies based on plan minimality for Plan-Space Planning Proc. IJCAI-95 1995 1627--1633 kambh-1995:noplann:inbook:57 Subbarao Kambhampati No Planner Is an Island: Lessons from the Nextcut Process Planner Integrated Planning Applications: Papers from the 1995 AAAI Spring Symposium 1995 57--66 AAAI Press, Menlo Park, California 0-929280-87-3 kambh-1996:admispruni:TR Subbarao Kambhampati Admissible Pruning Strategies based on plan minimality for Plan-Space Planning (the details) Department of Computer Science and Engineering, Arizona State University, Tempe, AZ 85287-5406 1996 ftp://rakaposhi.eas.asu.edu/pub/rao/rao.html kambh-1997:canwe:inbook:44 Subbarao Kambhampati Can we Bridge Refinement-based and {SAT}-based Planning Techniques? M. Pollack Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) 1997 Morgan Kaufmann 44--49 kambh-1997:challin: S. Kambhampati Challenges in bridging plan synthesis paradigm 1997 IJCAI-97 challenge paper kambh.chen-1993:relatutili:inbook:514 Subbarao Kambhampati and Jengchin Chen Relative Utility of {EBG} based Plan Reuse in Partial Ordering vs. Total Ordering Planning Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93) 1993
Washington, D.C., USA
August AAAI Press/MIT Press 0-262-51071-5 Plan Learning 514--519
kambh.davis-1986:multipath:journal:135 Subbarao Kambhampati and Larry S. Davis Multiresolution path planning for mobile robots IEEE Journal of Robotics and Automation 1986 RA--2 3 135--145
kambh.hendl-1988:contrrefit:TR Subbarao Kambhampati and James Hendler Control of Refitting during Plan Reuse Dept CS, U Maryland 1988 report January kambh.hendl-1989:contrrefit:inbook: Subbarao Kambhampati and James Hendler Control of Refitting during Plan Reuse International Joint Conference on Artificial Intelligence (IJCAI-89) 1989 kambh.hendl-1989:flexireuse:inbook: S. Kambhampati and J. A. Hendler Flexible Reuse of Plans via Annotation and Verification IEEE conf. on applications of AI 1989 PRIAR kambh.ihrig-1996:candiset:inbook:125 Subbarao Kambhampati and Laurie Ihrig and Biplav Srivastava A Candidate Set based Analysis of Subgoal Interactions in Conjunctive Goal Planning B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 125--133 kambh.kedar-1991:explagener:inbook:679 Subbarao Kambhampati and Smadar Kedar Explanation-Based Generalization of Partially Ordered Plans Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
July AAAI Press/MIT Press 0-262-51059-6 Hierarchy in Planning 679--685
kambh.knobl-1995:plannas:journal:167 S. Kambhampati and C. Knoblock and Q. Yang Planning as Refinement Search: {A} unified framework for evaluating design tradeoffs in partial order planning Artificial Intelligence 1995 76 167--238
kambh.nau-1994:onnatur:inbook:1055 Subbarao Kambhampati and Dana S. Nau On the Nature of Modal Truth Criteria in Planning Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Planning: Representation 1055--1060
kambh.nau-1994:onnatur:TR Subbarao Kambhampati and Dana S. Nau On the Nature and Role of Modal Truth Criteria in Planning Institute for Systems Research, University of Maryland 1994 UMD Tech. Report ISR-TR-93-30
College Park, Maryland 20742, USA
November ftp://rakaposhi.eas.asu.edu/pub/rao/papers.html http://www.cs.umd.edu/\~nau/planning.html
kambh.nau-1996:onnatur:journal:129 Subbarao Kambhampati and Dana S. Nau On the Nature and Role of Model Truth Criteria in Planning Artificial Intelligence 1996 82 1--2 129--155
kambh.sriva-1995:univeclass:inbook: S. Kambhampati and B. Srivastava Universal Classical Planner: An algorithm for unifying State-space and Plan-space planning Proc. of 3rd European Workshop on Planning (EWSP) 1995 kambh.sriva-1996:univeclass:inbook:61 S. Kambhampati and B. Srivastava Universal Classical Planner: An Algorithm for Unifying State-Space and Plan-Space Planning M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Search Spaces 61--78 kamp-1968:ontense:thesis Hans Kamp On tense logic and the theory of order UCLA 1968 kamp-1979:instatempo:inbook:376 Hans Kamp Instants and temporal reference R. Bauerle and U. Egli and Arnim von Stechow Semantics from different points of view Springer 1979 6 Springer series in language and communication 376--417 kamp-1980:someremar:inbook:135 Hans Kamp Some remarks on the logic of change F. Guenther Stuttgart conf. on the logic of tense and quantification 1980 135--179 North Holland kandr-1983:repretempo:inbook:346 E. Y. Kandrashina Representation of temporal knowledge International Joint Conference on Artificial Intelligence (IJCAI 83) 1983 346--348 kanez.dean-1989:modelfor:inbook:985 K. Kanezawa and T. Dean A model for projection and action International Joint Conference on Artificial Intelligence (IJCAI-89) 1989 985--999 kant.newel-1983:automalgor:inbook:177 E. Kant and A. Newell An automatic algorithm designer: an initial implementation National Conference on Artificial Intelligence of the American Association for AI (AAAI 83) 1983 177--181 kapel-1994:envirde:thesis K. Kapellos Environnement de Programmation des applications robotiques r\'eactives L'Ecole des Mines de Paris 1994 November karls-1996:causalinks:inbook:95 L. Karlsson Causal Links Planning and the Systematic Approach to Action and Change Theories of Action, Planning, and Robot Control: Bridging the Gap: Proceedings of the 1996 AAAI Workshop 1996 95--102
Menlo Park, California
AAAI Press 1-57735-021-9
karpi-1983:foundcompu:158: Foundations of computation theory: proceedings of the 1983 Inernational {FCT}-Conference 1983 Marek Karpinski 158 Lecture notes in computer science
Borgholm, Sweden
August Springer-Verlag
karta-1989:invesutili:thesis N. A. Kartam Investigating the utility of {AI} techniques for automatic generation of construction project plans Dept. Civil Engineering, Stanford U 1989 karta.levit-1990:centrappro:inbook:250 Nabil Kartam and Raymond Levitt and David E. Wilkins A Centralized Approach for Representing and Resolving Interactions Among Multi-agent Tasks while Planning Hierarchically Proc. of the Sixth Conference on Artificial Intelligence Applications CAIA-90 (Volume I: Papers) 1990 250--256
Santa Barbara, CA
karta.levit-1990:centrappro:inbook:274 N. A. Kartam and R. E. Levitt and D. E. Wilkins A Centralized Approach for Representing and Resolving Interactions Among Multi-Agent Tasks While Planning Hierarchically Proc. of the Sixth Conference on Artificial Intelligence Applications CAIA-90 (Volume II: Visuals) 1990 274--276
Santa Barbara, CA
karta.levit-1991:artifintel:journal:464 Nabil Kartam and Raymond Levitt and David E. Wilkins Artificial Intelligence Techniques for Construction Planning ASCE Journal of Computing in Civil Engineering 1991 5 4 464--477 October
karta.wilki-1989:towarfound:TR N. A. Kartam and D. E. Wilkins Towards a foundation for evaluating {AI} planners SRI International 1989 AI center technical note 471 August
karta.wilki-1990:towarfound:journal: Nabil Kartam and David E. Wilkins Toward a Foundation for Evaluating {AI} Planners Artificial Intelligence in Engineering Design, Analysis, and Manufacturing 1990 4 1 There exists a large body of Artificial Intelligence (AI) research on generating plans, i.e., linear or nonlinear sequences of actions, to transform an initial world state to some desired goal state. However, much of the planning research to date has been complicated, ill-understood, and unclear. Only a few of the developers of these planners have provided a thorough description of their research products, and those descriptions that exist are usually unrealistically favorable since the range of applications for which the systems are tested is limited to those for which they were developed. As a result, it is difficult to evaluate these planners and to choose the best planner for a different domain. To make a planner applicable to different planning problems, it should be domain independent. However, one needs to know the circumstances under which a general planner works so that one can determine its suitability for a specific domain. This paper presents criteria for evaluating AI planners; these criteria fall into three categories: (1) performance issues, (2) representational issues, and (3) communication issues. This paper also assesses four nonlinear AI planners (NOAH, NONLIN, SIPE, and TWEAK).
kass.finin-1988:modeluser:journal: R. Kass and T. Finin Modelling the user in natural language systems Computational linguistics 1988 14 3
kass.finin-1989:modeluser:inbook: R. Kass and T. Finin Modelling the user in natural language systems Allfred Kobsa and Wolfgang Wahlster User models in dialog systems Springer-Verlag 1989
London
kautz-1982:firstdynam:thesis Henry A. Kautz A first-order dynamic logic for programming Dept. CS, U of Toronto 1982 {MSc} thesis May CSRG-144 kautz-1982:firstdynam:TR H. A. Kautz A First-Order Dynamic Logic for Planning(Master's Thesis) Univ. of Toronto 1982 CSRG-144 kautz-1982:plannwithi:inbook:19 H. A. Kautz Planning Within First-Order Dynamic Logic Proc. of the Canadian Society for Computational Studies of Intelligence 1982 4 19--26 kautz-1986:logicpersi:inbook:401 Henry Kautz The logic of persistence National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 401--405 kautz-1987:formatheor:thesis Henry A. Kautz A formal theory of plan recognition Dept. CS, U of Rochester 1987 UMI NDS87-18947 kautz-1987:formatheor:TR Henry A. Kautz A formal theory of plan recognition Dept CS, Rochester U 1987 215 kautz-1989:formatheor:inbook: Henry A. Kautz Formal theories of plan recognition James Allen {Josh Tenenberg, Jay Weber} Proceedings from the Rochester planning workshop : from formal systems to practical systems 1989
Rochester, NY
Department of Computer Science, University of Rochester
kautz-1989:hardprobl: Henry Kautz Hard {P}roblems for {S}oft {AI} 1989 Delivered as the \hi{Computers and Thought} lecture at the 1989 International Joint Conference on Artificial Intelligence (IJCAI), Detroit, Michigan. kautz.allen-1986:generplan:inbook:32 H. A. Kautz and J. F. Allen Generalized Plan Recognition National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 32--37 kautz.selma-1994:experin:inbook:438 H. Kautz and B. Selman and M. Cohen and S. Ketchpel and C. Ramming An Experiment in the Design of Software Agents Proc. of the Twelth National Conference on Artificial Intelligence 1994 438--443 kautz.selma-1996:pushienvel:inbook:1202 Henry Kautz and Bart Selman Pushing the Envelope: Planning, Propositional Logic, and Stochastic Search Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Planning, Search 1202--1207
kedar.mccar-1987:explagener:inbook:383 S. Kedar-Cabelli and L. T. McCarty Explanation-based generalization as resolution theorem proving Intl. machine learning workshop 4 1987 383--389
U California at Irvine
June Morgan Kaufman
kedar.mccar-1987:explagener:TR S. Kedar-Cabelli and L. T. McCarty Explanation-based generalization as resolution theorem proving Lab for CS research, Hill Ctr. for Math Sciences, Rutgers U 1987 ML-TR-10 kedar.mckus-1992:tradein:inbook:281 Smadar T. Kedar and Kathleen B. McKusick Tradeoffs in the Utility of Learned Knowledge James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 281--282
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kelle-1993:emergreaso:inbook: Gerald Kelleher Emerging Reason Maintenance System Technologies and Their Application to Constraint-Based Scheduling Proceedings of the Twelfth Workshop of the U.K. Planning Special Interest Group 1993 kelle-1996:modelcompl:inbook:103 T. Kelley Modeling Complex Systems in the Situation Calculus: {A} Case Study Using the Dagstuhl Steam Boiler Problem Theories of Action, Planning, and Robot Control: Bridging the Gap: Proceedings of the 1996 AAAI Workshop 1996 103--112
Menlo Park, California
AAAI Press 1-57735-021-9
kelle.cohn-1992:automsynth:inbook:653 G. Kelleher and A. G. Cohn Automatically Synthesising Domain Constraints from Operator Descriptons Berd Neumann 10th European Conference on Artificial Intelligence (ECAI '92) 1992 653--655
Vienna, Austria
August Published by John Wiley and Sons
kelle.sprag-1996:discifor:inbook:199 Gerry Kelleher and J. E. Spragg A Discipline for Reactive Scheduling B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 199--204
kempf.pape-1991:issuein:journal:37 Karl Kempf and Claude Le Pape and Stephen F. Smith and Barry R. Fox Issues in the Design of {AI}-Based Schedulers: {A} Workshop Report AI Magazine 1991 11 5 37--46 January
kempf.russe-1991:ai-basched:journal:46 Karl Kempf and Bruce Russell and Sanjiv Sidhu and Stu Barrett {AI}-Based Schedulers in Manufacturing Practice: Report of a Panel Discussion AI Magazine 1991 11 5 46--55 January
keng.yun-1989:plannmetho:inbook:998 N. Keng and D. Y. Y. Yun A planning/scheduling methodology for the constrained resource problem Proc. 11th Int. Joint Conf. on AI 1989 998--1003
kent.rosar-1992:submeforma:journal:115 E. W. Kent and M. E. Rosar The submetric formalism for task representation Robotics and Autonomous Systems 1992 9 115--133 Autonomous systems, robot, task planning Elsevier Science Publishers (North Holland)
keppe-1993:toolstechn:TR D. Keppel Tools and techniques for building fast portable threads packages U. of Washington 1993 UWCSE 93-05-06 kible.morri-1981:dontbe:inbook:345 D. Kibler and P. Morris Don't be stupid 7th International Joint Conference on Artificial Intelligence (IJCAI) 1981 345--345 kible.morri-1981:planvaria:TR D. F. Kibler and P. Morris Plan variants and a plan refinement algorithm Dept Information and CS, UC at Irvine 1981 178 October kible.schwa-1992:complconti:TR D. Kibler and K. Schwamb Complete Contingency Planners U. of California, Irvine 1992 UCI 92-24
kim-1973:causecount:journal:570 J. Kim Causes and counterfactuals J. Philosophy 1973 70 570--572
king.spach-1980:schedbibli:journal:105 J. R. King and S. Spachis Scheduling: bibliography & review Intl J Physical Distribution and Material Management 1980 10 3 105--132 management side, about problem classification, performance criteria, complexity
kinos.umeda-1981:algorfor:inbook:363 A. Kinoshita and T. Umeda and E. O'Shima An Algorithm for Synthesis of Operational Sequences of Chemical Plants 14th European Symposium on Computerized Control and Operation of Chemical Plants 1981 363--368
Laxenburg near Vienna
September Federation of Chemical Engineering
kinos.umeda-1982:approfor:inbook:114 A. Kinoshita and T. Umeda and E. O'Shima An approach for determination of operational procedures of chemical plants International Symposium of Process Systems Engineering (PSE '82) 1982 114--120
Kyoto, Japan
kirma-1994:predireal-:thesis Jak Kirman Predicting Real-Time Planner Performance by Domain Characterization Department of Computer Science, Brown University 1994 kirma.nicho-1994:usinggoals:inbook:158 Jak Kirman and Ann Nicholson and Moises Lejter and Thomas Dean and Eugene Santos Jr. Using Goals to Find Plans with High Expected Utility C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
Vadstena, Sweeden
December IOS Press (Amsterdam) 90-5199-153-3 158--170
kirsh.magli-1992:reactrefle:inbook:283 David Kirsh and Paul Maglio Reaction and Reflection in Tetris James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 283--284
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kirwa.ainsw-1992:guideto: B. Kirwan and L. K. Ainsworth A guide to task analysis Taylor & Francis 1992
London
kis.vancz-1996:compucompl:inbook:299 T. Kis and J. V\'{a}ncza Computational Complexity of Manufacturing Process Planning M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Practical and Algorithmic Complexities 299--312 kiss-1991:variacoupl:inbook:231 G. Kiss Variable coupling of agents to their environment: combining situated and symbolic automata Proc. of the third European Workshop on Modelling Autonomous Agents in a Multi-Agent World 1991 231--248
Kaiserslautern, Germany
August North-Holland
kitan.velos-1997:robocsynth:inbook:24 Hiroaki Kitano and Manuela Veloso and Peter Stone and Milind Tambe and Silvia Coradeschi and Eiichi Osawa and Itsuki Noda and Hitoshi Matsubara and Minoru Asada The RoboCup Synthetic Agents Challenge 97 M. Pollack Proceedings of the 15th International Joint Conference on Artificial Intelligence (IJCAI-97) 1997 Morgan Kaufmann 24--29 klein.jonss-1996:tractplann:inbook:313 I. Klein and P. Jonsson and C. Backstrom Tractable Planning for an Assembly Line M. Ghallab and A. Milani New Directions in AI Planning IOS Press (Amsterdam) 1996 90-5199-237-8 Practical and Algorithmic Complexities 313--326 kline-1992:schedrevis:inbook:102 Paul J. Kline Scheduling Revisited Workstations in Integrated-Circuit Fabrication Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 102--111
Menlo Park, California
AAAI Press 0-929280-32-6
kmiet.pearm-1981:decistheor: Z. W. Kmietowicz and A. D. Pearman Decision theory and incomplete knowledge Gower Publishing 1981
Aldershot
0-566-00327-9
knick.schle-1994:amosactiv:inbook:281 M. Knick and C. Schlegel {AMOS}: Active Perception of an Autonomous System Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems 1994 281--289 knobl-1991:searcreduc:inbook:686 Craig A. Knoblock Search Reduction in Hierarchical Problem Solving Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
July AAAI Press/MIT Press 0-262-51059-6 Hierarchy in Planning 686--691
knobl-1992:analyabstr:inbook:126 Craig A. Knoblock An Analysis of {ABSTRIPS} James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 126--135
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
knobl-1994:applygener:inbook:88 Craig A. Knoblock Applying a General-Purpose Planner to the Problem of Query Access Planning Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 88--92 AAAI Press, Menlo Park, California 0-929280-75-x
knobl-1994:automgener:journal:243 Craig A. Knoblock Automatically generating abstractions for planning Artificial Intelligence 1994 68 243--302
knobl-1995:plannexecu:inbook: C. A. Knoblock Planning, Executing, Sensing, and Replanning for Information Gathering Proc. of the Int. Joint Conf. on Artificial Intelligence 1995
Montreal, Canada
knobl-1996:buildplann:inbook:134 Craig A. Knoblock Building a Planner for Information Gathering: {A} Report from the Trenches B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 134--141 knobl-1996:whyplann:inbook:89 Craig A. Knoblock Why Planning Generation and Plan Execution Are Inseparable Plan Execution: Problems and Issues: Papers from the 1996 AAAI Fall Symposium 1996 89--91 AAAI Press, Menlo Park, California 1-57735-015-4 knobl.tenen-1991:charaabstr:inbook:692 Craig A. Knoblock and Josh D. Tenenberg and Qiang Yang Characterizing Abstraction Hierarchies for Planning Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
July AAAI Press/MIT Press 0-262-51059-6 Hierarchy in Planning 692--697
knobl.yang-1993:compasnlp:inbook:73 Craig A. Knoblock and Qiang Yang A Comparison of the {SNLP} and {TWEAK} Planning Algorithms Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 73--77 AAAI Press, Menlo Park, California kobsa.wahls-1988:usermodel: A. Kobsa and W. Wahlster User models in dialog systems Springer Verlag 1988 superset of Comp. Ling. special issue kobsa.wahls-1989:usermodel: Allfred Kobsa and Wolfgang Wahlster User models in dialog systems Springer-Verlag 1989
London
A superset of Computational linguistics 1988 14(3)
kodra.migno-1994:indusappli:inbook:93 Yves Kodratoff and Herve Mignot Industrial Applications of {ML}: Illustrations for the {KAML} Dilemma and the {CBR} Dream Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 93--97 AAAI Press, Menlo Park, California 0-929280-75-x koehl-1992:towarlogic:inbook:285 Jana Koehler Towards a Logical Treatment of Plan Reuse James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 285--286
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
koehl-1994:flexiplan:inbook:171 Jana Koehler Flexible Plan Reuse in a Formal Framework C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
Vadstena, Sweeden
December IOS Press (Amsterdam) 90-5199-153-3 171--184
koeni-1992:optimproba:TR Sven Koenig Optimal probabilistic and decision-theoretic planning using {M}arkovian decision theory Berkeley 1992 UCB/CSD 92/685 May koeni.simmo-1993:explowith:inbook:28 Sven Koenig and Reid G. Simmons Exploration With and Without a Map Learning Action Models: Papers from the 1993 AAAI Workshop 1993 28--32
Menlo Park, California
AAAI Press 0-929280-66-0
koeni.simmo-1994:howto:inbook:293 Sven Koenig and Reid G. Simmons How to Make Reactive Planners Risk-Sensitive Proceedings of the 2nd International Conference on Artificial Intelligence Planning Systems 1994 293--304 koeni.simmo-1994:risk-plann:inbook:363 Sven Koenig and Reid G. Simmons Risk-Sensitive Planning with Probabilistic Decision Graphs Proceedings of the 4th International Conference on Principles of Knowledge Representation and Reasoning 1994 363--373 koeni.simmo-1996:modelrisk:inbook:57 Sven Koenig and Reid Simmons Modeling Risk and Soft Deadlines for Robot Navigation Planning with Incomplete Information for Robot Problems: Papers from the 1996 AAAI Spring Symposium 1996 57--61 AAAI Press, Menlo Park, California 1-57735-006-5
kohou-1981:contrmovem:journal:397 L. J. Kohout Control of movement and protection structures Intl. J. man-machine studies 1981 14 397--442
kolod-1985:experproce:TR J. L. Kolodner Experiential Processes in Natural Problem Solving School of Information and Computer Science, Georgia Institute of Technology 1985 GIT--ICS--85/123
Atlanta, GA 30332
kolod-1987:capiton:inbook:715 J. L. Kolodner Capitalizing on failure through case-based inference Proceedings of the Ninth Annual Conference of the Cognitive Science Society 1987 715--726
Seattle, Washington
kolod-1987:case-probl:inbook: J. L. Kolodner Case-based problem solving Proc. 4 Intl. workshop on machine learning 1987
UCI
JULIA
kolod.culli-1986:towarmemor:inbook: J. L. Kolodner and R. E. Cullingford Towards a memory architecture that supports reminding Proceedings of the Eighth Annual Conference on Cognitive Science 1986 Lawrence Erlbaum Associates, Publishers kolod.simps-1984:experprobl:inbook: J. L. Kolodner and R. L. Simpson Experience and problem solving: a framework Proc. 6th Annual Conf. of the Cognitive Science Society 1984 kolod.simps-1985:procemodel:inbook:284 J. L. Kolodner and R. L. Simpson and K. Sycara--Cyranski A process model of case-based reasoning in problem-solving Proceedings of the 9th International Joint Conference on Artificial Intelligence (IJCAI 85) 1985
Los Angeles, California
284ff
kolod.thau:casememor:journal: Janet L. Kolodner and Robert Thau Case memory for a case-based reasoner: {A} parallel implementation Communications of the ACM in press
kondr.beek-1997:theorevalu:journal:365 G. Kondrak and P. van Beek A theoretical evaluation of selected backtracking algorithms Artificial Intelligence 1997 89 365--387
konol-1980:firstforma:TR K. Konolige A first-order formalization of knowledge and belief for a multi-agent planning system SRI International 1980 AI center technical note 232 konol-1982:firstforma:inbook: K. Konolige A first-order formalization of knowledge and belief for a multi-agent planning system Donald Michie and Y. H. Pao Machine Intelligence 10 1982
Chichester
Ellis Horwood My references gives 1980 as the year but MI 10 was published in 1982 A very elegant connection between a theory of belief that treats beliefs as sentences, and situation calculus
konol-1984:deducmodel:thesis K. Konolige A deduction model of belief and its logics Dept CS, Stanford U 1984 August konol-1984:deducmodel:TR K. Konolige A deduction model of belief and its logics Dept CS, Stanford U 1984 STAN-CS-84-1002 konol-1984b:deducmodel:TR K. Konolige A deduction model of belief and its logics SRI International 1984 AI center technical note 326 b konol-1985:belieincom:inbook:359 K. Konolige Belief and incompleteness J. R. Hobbs and R. C. Moore Formal theories of the commonsense world Ablex 1985 359--403
Norwood, NJ
konol-1985:experrobot:TR K. Konolige Experimental robot psychology SRI International 1985 AI center technical note 363 konol-1986:deducmodel: K. Konolige A Deduction Model of Belief Pitman 1986 Research notes in artificial intelligence
London
konol-1995:refinmetho:inbook: K. Konolige A Refined Method for Occupancy Grid Interpretation Intl. Workshop on Reasoning with Uncertainty in Robotics 1995
U. of Amsterdam, Netherlands
konol.nilss-1980:multiplann:inbook:138 K. Konolige and N. Nilsson Multiple-agent planning systems National Conference on Artificial Intelligence of the American Association for AI (AAAI-80) 1980 138--142
Stanford, CA
Some good ideas about how to treat plans as objects and pass info about them and work on them around. But nothing further has happened.
koome-1987:timeltempo:TR Johannes A. G. M. Koomen The {TIMELOGIC} Temporal Reasoning System in Common Lisp Dept CS, Rochester U, NY 1987 Technical Report 231 November
korf-1980:towarmodel:journal:41 Richard E. Korf Towards a model of representation changes Artificial Intelligence 1980 14 41--78
korf-1982:progrthat:inbook:164 Richard E. Korf A program that learns to solve Rubik's cube National Conference on Artificial Intelligence of the American Association for AI (AAAI 82) 1982 164--167 korf-1983:learnto:thesis Richard E. Korf Learning to solve problems by searching for macro operators Dept CS, Carnegie-Mellon U 1983 korf-1983:operadecom:inbook: Richard E. Korf Operator decomposability: a new type of problem structure National Conference on Artificial Intelligence of the American Association for AI (AAAI 83) 1983 korf-1985:learnto:5: Richard E. Korf Learning to solve problems by searching for macro operators Pitman 1985 5 Research notes in artificial intelligence
London
korf-1985:macroweak:journal:35 Richard E. Korf Macro-operators: a weak method for learning Artificial Intelligence 1985 26 35--77
korf-1985:macroweak:TR Richard E. Korf Macro-Operators: a weak method for learning Department of Computer Science, Columbia University 1985 CUCS-156-85
korf-1987:plannas:journal:65 Richard E. Korf Planning as search: a quantitative approach Artificial Intelligence 1987 33 65--88
korf-1988:real-heuri:inbook:139 R. Korf Real-time heuristic search: new results Proc. AAAI-88 1988 139--144 korf-1989:aaaisprin: Proc. {AAAI} spring symp. on planning and search 1989 R. Korf and others
Palo Alto
korf.taylo-1996:findioptim:inbook:1202 Richard E. Korf and Larry A. Taylor Finding Optimal Solutions to the Twenty-Four Puzzle Proceedings of the Thirteenth National Conference on Artificial Intelligence (AAAI-96) 1996
Portland, Oregon, USA
August AAAI Press / The MIT Press 0-262-51091-x Planning, Search 1202--1207
kornf-1979:ether-:inbook:490 W. A. Kornfeld {ETHER} - a parallel problem solver International Joint Conference on Artificial Intelligence (IJCAI 79) 1979 490--492
kornf.hewit-1981:sciencommu:journal: W. A. Kornfeld and Carl Hewitt The scientific community metaphor IEEE trans. on systems, man and cybernetics 1981 SMC-11 1
kosec-1995:supercontr: J. Ko{\v{s}}eck\'{a} Supervisory control theory for autonomous mobile agents 1995 Dissertation Proposal, U. of Pennsylvania kosec-1996:framefor:TR Ko{\v{s}}eck\'{a} A Framework for Modeling and Verfiying Visually Guided Agents: Design, Analysis and Experiments GRASP laboratory, U. of Pennsylvania 1996 402 kosec.bajcs-1993:discrevent:inbook:21 J. Ko{\v{s}}eck\'{a} and R. Bajcsy Discrete Event Systems for Autonomous Mobile Agents Proc. of the Symp. on Intelligent Robotic Systems 1993 21--31 kosec.chris-1993:discrevent:TR J. Ko{\v{s}}eck\'{a} and H. I. Christensen and R. Bajcsy Discrete Event Modeling of Navigation and Gaze Control GRASP laboratory, U. of Pennsylvania 1993 kosec.chris-1995:experin:inbook:129 J. Ko{\v{s}}eck\'{a} and H. I. Christensen Experiments in Behavior Composition Proc. of the Symp. on Intelligent Robotic Systems 1995 129--139
Pisa, Italy
July
kosy.dhar-1983:knowlsuppo:TR D. Kosy and V. Dhar Knowledge-based support systems for long-range planning Robotics Inst., Carnegie-Mellon U 1983 CMU-RI-TR-83-21 kott-1986:automlangu:226: Automata, languages and programming : Proc. 13th international colloquium 1986 Laurent Kott 226 Lecture notes in computer science
Rennes, France
July Springer-Verlag
kowal-1979:logicfor: Robert Kowalski Logic for problem solving North-Holland 1979 kowal-1986:databupdat:TR Robert Kowalski Database updates in the event calculus Dept. computing, Imperial college, London U 1986 DOC 86/12 kowal.sergo-1985:logicbased:inbook: Robert Kowalski and Marek Sergot A logic based calculus of events C. Thanos and J. W. Schmidt Knowledge-based Management Systems Springer-Verlag 1985 kowal.sergo-1985:logicbased:TR Robert Kowalski and Marek Sergot A logic based calculus of events Dept. computing, Imperial college, London U 1985
kowal.sergo-1986:logicbased:journal:67 Robert Kowalski and Marek Sergot A logic based calculus of events New generation computing 1986 4 1 67--95 Ohmsha Ltd and Springer verlag
kozen-1981:semanproba:journal:328 D. Kozen Semantics of probabilistic programs J. Computer and system sciences 1981 22 328--350
kozen-1982:logicprogr:131: Logics of Programs: proceedings of the 1981 workshop 1982 Dexter Kozen 131 Lecture notes in computer science
Yorktown Heights, NY
May Springer-Verlag
kozen-1983:resulon:journal:333 D. Kozen Results on the propositional mu-calculus Theoretical Computer Science 1983 27 333--354
kozen-1985:probapdl:journal:162 D. Kozen A probabilistic {PDL} J. Computer and system sciences 1985 30 162--178
kozen.parik-1981:elemeproof:journal:113 D. Kozen and R. Parikh An elementary proof of the completeness of {PDL} Theoretical Computer Science 1981 14 113--118
krame.unger-1992:abstropera:inbook:287 Martin Kramer and Claus Unger Abstracting Operators for Hierarchical Planning James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 287--288
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
krame.unger-1994:generopera:inbook:185 Martin Kramer and Claus Unger A Generalizing Operator Abstraction C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
Vadstena, Sweeden
December IOS Press (Amsterdam) 90-5199-153-3 185--198
kraus.lehma-1986:knowlbelie:inbook:186 S. Kraus and D. Lehmann Knowledge, belief and time Laurent Kott Automata, languages and programming : Proc. 13th international colloquium 1986 Lecture notes in computer science 226 186--195
Rennes, France
July Springer-Verlag
krebs.gini-1992:empirstudy:inbook:136 Kurt Krebsbach and Maria Gini and Duane Olawsky An Empirical Study of Sensing and Defaulting in Planning James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 136--144
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kreps-1988:noteson: D. M. Kreps Notes on the theory of choice Westview Press 1988 krieg-1989:algebspeci:inbook:36 Bernd Krieg-Bruckner Algebraic Specification and Functionals for Transformational Program and Meta Program Development J. Diaz and F. Orejas TAPSOFT '89: Proc. Intl. Joint Conf. on Theory and Practice of Software Development 1989 Lecture notes in computer science 352 36--59
Barcelona, Spain
March Springer-Verlag
kripk-1963:semananaly:journal:113 Saul Kripke Semantical analysis of modal logic {I}: normal propositional calculi Zeitschrift fur math. Logik u. Grundlagen der Math 1963 9 113--118
kripk-1963:semanconsi:journal:83 Saul Kripke Semantical considerations on modal logic Acta philosphica fennica 1963 16 83--94
kripk-1971:semanconsi:inbook: Saul Kripke Semantical considerations on modal logic Leonard Linsky Reference and modality Oxford University Press 1971
Oxford
kripk-1972:naminneces:inbook:253 Saul Kripke Naming and necessity Donald Davidson and Gilbert Harman Semantics of natural language Reidel 1972 Synthese Library 253--355
Dordrecht
kripk-1980:naminneces: Saul A. Kripke Naming and necessity Blackwell 1980 Library of philosophy and logic
Oxford
krulw-1991:learnfrom:inbook:318 B. Krulwich Learning from Deliberated Reactivity Proc. of the Machine Learning Workshop 1991 318--322 krulw-1992:plannfor:inbook:289 Bruce Krulwich Planning for Soft Goals James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 289--290
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
kuczo.kelle-1988:integproje:inbook: P. W. Kuczora and J. M. Kellet and J. T. Boardman An integrated project management system for engineering planning and control Alvey planning SIG 8 1988
Nottingham
November contains a lot of references of mixed standing to OR scheduling
kumar-1993:ratioengin:inbook:78 Deepak Kumar Rational Engines for {BDI} Architectures Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 78--82 AAAI Press, Menlo Park, California
kumar-1995:ok.bdarchi:journal: D. Kumar The {OK BDI} Architecture submitted Int. Journal of Artificial Intelligence Tools 1995 World Scientific Publishing
kumar.varai-1986:stochsyste: P. R. Kumar and P. P. Varaiya Stochastic Systems: Estimation, Identification, and Adaptive Control Prentice Hall 1986
Englewood Cliffs, NJ
kunz.bonur-1986:contianaly:inbook: John C. Kunz and T. Bonura and R. E. Levitt and M. J. Stelzner Contingent analysis for project management using possible worlds Intl. conf. of applications of AI to engineering problems 1 1986
Southampton, UK
April
kurki.pa-1988:ondesig:journal:581 R. Kurki-Suonio and T. Kankaanpa:pa: On the design of reactive systems BIT 1988 28 581--604
kushm.hanks-1993:algorfor:TR N. Kushmerick and Steve Hanks and Daniel Weld An Algorithm for Probabilistic Planning University of Washington Department of Computer Science and Engineering 1993 93-06-03 June Appeared in {\em Artificial Intelligence}, buridan. see kushmerick95 kushm.hanks-1994:algorfor:inbook:1073 Nicholas Kushmerick and Steve Hanks and Daniel Weld An Algorithm for Probabilistic Least-Commitment Planning Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Planning Under Uncertainty 1073--1078
kushm.hanks-1995:algorfor:journal:239 Nicholas Kushmerick and Steve Hanks and Daniel S. Weld An algorithm for probabilistic planning Artificial Intelligence 1995 76 1-2 239--286 September
kushn.klein-1971:matheprogr:journal:801 Harold J. Kushner and A. J. Kleinman Mathematical programming and the control of {M}arkov chains International Journal of Control 1971 13 5 801--820
kusia.finke-1986:proceplan:inbook:1827 A. Kusiak and Gerd Finke The Process Plan Selection Problem IEEE Proc. Intl. Conf. on Robotics and Automation 1986 1827--1830 kwa-1988:tolerplann:inbook: James B. H. Kwa Tolerant planning and negotiation in generating coordinated movement plans in an automated factory IEA/AIE 88: Intl. conf. on industrial and engineering applications of AI and expert systems 1 1988
U of Tennessee Space Institute, Tullahoma, TN
June
kwa-1988:tolerplann:TR James B. H. Kwa Tolerant planning and negotiation in generating coordinated movement plans in an automated factory DAI, Edinburgh U 1988 research paper 374 kybur-1961:probalogic: Henry Kyburg Probability and the logic of rational belief Wesleyan UP 1961 ladki-1985:commeon:inbook:137 Peter Ladkin Comments on the representation of time Workshop on distributed AI 1985 137--158
Sea Ranch, California
ladki-1986:primiunits:inbook:354 Peter Ladkin Primitives and units for time specifications National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 354--359 ladki-1986:timerepre:inbook:360 Peter Ladkin Time representation: a taxonomy of interval relations National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 360--366 ladki-1987:complnatur:inbook: Peter Ladkin The completeness of a natural system for reasoning with time intervals International Joint Conference on Artificial Intelligence (IJCAI 87) 1987 ladki-1988:firstconst:TR P. B. Ladkin First-Order Constraint Satisfaction for Time Intervals Kestrel Inst. 1988 Technical Report ladki-1988:satisfirst:inbook:512 P. Ladkin Satisfying first-order constraints about time intervals National Conference on Artificial Intelligence of the American Association for AI (AAAI 88) 1988 512--517 ladki.maddu-1988:reprereaso:TR P. B. Ladkin and R. D. Maddux Representation and Reasoning with Convex Time Intervals Kestrel Inst. 1988 KES.U.88.2 laeng.leuth-1995:distrcontr:inbook:384 T. Laengle and T. C. Leuth and U. Rembold A Distributed Control Architecture for Autonomous Robot Systems H. Bunke and T. Kanade and H. Noltemeier Modelling and Planning for Sensor Based Intelligent Robot Systems World Scientific 1995 384--402
laffe.cox-1988:real-knowl:journal:27 T. J. Laffey and P. A. Cox and J. L. Schmidt and S. M. Kao and J. Y. Read Real-time knowledge-based systems AI magazine 1988 9 1 27--45
laffe.weitz-1988:intelreal-:inbook:72 Thomas J. Laffey and Scott M. Weitzenkamp and Jackson Y. Read and Simon A. Kao and James L. Schmidt Intelligent Real-Time Monitoring Proceedings of the Seventh National Conference on Artificial Intelligence (AAAI-88) 1988
Saint Paul, Minnesota, USA
August AAAI Press/MIT Press 0-262-51055-3 Planning 72--76
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Seattle, WA
August
murph-1996:allocsensi:inbook:65 Robin R. Murphy Allocating Sensing Resources with Incomplete Inforrnation Planning with Incomplete Information for Robot Problems: Papers from the 1996 AAAI Spring Symposium 1996 65--70 AAAI Press, Menlo Park, California 1-57735-006-5 murph-1996:usescrip:inbook:156 R. R. Murphy Use of Scripts for Coordinating Perception and Action Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems 1996 156--161
Osaka
November
murph.durfe-1994:predisuffi:inbook:298 D. J. Murphy and E. H. Durfee and K. G. Shin Predictive sufficiency and the use of stored internal state Proc. Conf. on Intelligent Robotics in Field, Factory, Service and Space 1994 298--305
Houston, TX
March
murph.lyons-1993:visuaguide:inbook: T. G. Murphy and D. M. Lyons and A. J. Hendriks Visually Guided Stable Grasping with a Multi-fingered Robot Hand: {A} Behavior-Based Approach Proc. of the SPIE Symp. on Intelligent Robots and Computer Vision XII 1993
Boston, MA
murph.lyons-1993b:visuaguide:inbook: T. G. Murphy and D. M. Lyons and A. J. Hendriks Visually Guided Multi-Fingered Grasping as defined by Schemas and a Reactive System The USC Center for Neural Engineering Workshop on Neural Architectures and Distributed AI: From Schema Assemblages to Neural Networks 1993
Los Angeles CA
b
musce-1994:experanaly:inbook:240 Nicola Muscettola An Experimental Analysis of Bottleneck-Centred Opportunistic Scheduling C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
Vadstena, Sweeden
December IOS Press (Amsterdam) 90-5199-153-3 240--253
musce-1994:onutili:inbook:1105 Nicola Muscettola On the Utility of Bottleneck Reasoning for Scheduling Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Scheduling 1105--1110
musce.pell-1994:towarreal-:inbook:114 Nicola Muscettola and Barney Pell Toward Real-World Science Mission Planning Planning and Learning: On to Real Applications: Papers from the 1994 AAAI Fall Symposium 1994 114--120 AAAI Press, Menlo Park, California 0-929280-75-x musce.smith-1987:probaframe:inbook: Nicola Muscettola and Stephen Smith A Probabilistic Framework for Resource-Constrained Multi-Agent Planning International Joint Conference on Artificial Intelligence (IJCAI 87) 1987 musce.smith-1992:decomscala:inbook:15 Nicola Muscettola and Stephen F. Smith Decomposability and Scalability in Space-Based Observatory Scheduling Practical Approaches to Scheduling and Planning: Papers from the 1992 Spring Symposium 1992 15--19
Menlo Park, California
AAAI Press 0-929280-32-6
musli-1994:usingabstr:inbook:1036 David J. Musliner Using Abstraction and Nondeterminism to Plan Reaction Loops Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
Seattle, Washington, USA
August AAAI Press/MIT Press 0-262-51078-2 Planning: Agents 1036--1041
musli-1996:planexecu:inbook:99 David J. Musliner Plan Execution in Mission-Critical Domains Plan Execution: Problems and Issues: Papers from the 1996 AAAI Fall Symposium 1996 99--101 AAAI Press, Menlo Park, California 1-57735-015-4 musli.durfe-1992:any-dalgor:inbook:78 D. J. Musliner and E. H. Durfee and K. G. Shin Any-Dimension Algorithms Proc. Workshop on Real-Time Operating Systems and Software 1992 78--81 May musli.durfe-1992:any-dalgor:TR D. J. Musliner and E. H. Durfee and K. G. Shin Any-Dimension Algorithms and Real-Time {AI} U. of Michigan 1992 CSE-TR-151-92
musli.durfe-1993:circacoope:journal:1561 D. J. Musliner and E. H. Durfee and K. G. Shin {CIRCA}: {A} Cooperative Intelligent Real-Time Control Architecture IEEE Trans. on Systems, Man, and Cybernetics 1993 23 6 1561--1574
musli.durfe-1993:reasoabout:inbook:104 D. J. Musliner and E. H. Durfee and K. G. Shin Reasoning about Bounded Reactivity to Achieve Real-Time Guarantees Working Notes of AAAI Spring Symp. on Selective Perception 1993 104--107 March
musli.durfe-1993:worldmodel:journal: D. J. Musliner and E. H. Durfee and K. G. Shin World Modelling for the Dynamic Construction of Real-Time Control Plans AI Journal, Special Issue on Computational Theories of Interaction and Agency (submitted 1993 ? ?
musli.durfe-1995:worldmodel:journal:83 D. J. Musliner and E. H. Durfee and K. G. Shin World Modeling for the Dynamic Construction of Real-Time Control Plans Artificial Intelligence 1995 74 1 83--127
musli.krebs-1996:plannfor:inbook:71 David J. Musliner and Kurt D. Krebsbach Planning for Murphy's Law: Uncertainty in {CIRCA} Planning with Incomplete Information for Robot Problems: Papers from the 1996 AAAI Spring Symposium 1996 71--73 AAAI Press, Menlo Park, California 1-57735-006-5 muth.thomp-1963:indussched: J. F. Muth and G. L. Thompson Industrial Scheduling Prentice-Hall 1963 myers-1992:introto:inbook:297 John K. Myers An Introduction to Planning and Meta-Decision-Making with Uncertain Nondeterministic Actions Using 2nd-Order Probabilities James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 297--298
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
myers-1996:proceknowl:inbook:158 Karen L. Myers A Procedural Knowledge Approach to Task-level Control B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 158--165 myers-1996userguidefor:manual Karen L. Myers User Guide for the Advisable Planner Artificial Intelligence Center, SRI International
Menlo Park, CA
Version 1.0 October 1996
myers-1997:abduccompl:inbook:687 Karen L. Myers Abductive Completion of Plan Sketches Proceedings of the 14th National Conference on Artificial Intelligence (AAAI-97) 1997
Providence, Rhode Island
July AAAI Press / MIT Press 0-262-51095-2 687--693 Flexible Hierarchical Planning
myers.wilki-1995act-eusersguide:manual Karen L. Myers and David E. Wilkins The Act-Editor User's Guide: {A} Manual for Version 1.09 Artificial Intelligence Center, SRI International
Menlo Park, CA
October 1995 http://www.ai.sri.com/\~act/act-ed.ps The Act formalism provides a medium in which to express knowledge about actions for both the SIPE-2 plan generation system and the PRS plan execution system. This document describes the Act-Editor, which provides a graphical user interface for creating and manipulating Acts. The document is designed for individuals who are already familiar with the Act formalism. The Act-Editor runs on Sun workstations with either Allegro Common Lisp 4.2/4.3 with CLIM 2.0/2.1, or Lucid Lisp 4.1 with CLIM 1.1., as well as Symbolics Lisp Machines. The specification of the Act formalism in the appendix is superceded by the specification in {\it The Act Formalism} document.
myers.wilki-1997act-eusersguide:manual Karen L. Myers and David E. Wilkins The Act-Editor User's Guide: {A} Manual for Version 2.1 Artificial Intelligence Center, SRI International
Menlo Park, CA
April 1997 http://www.ai.sri.com/\~act/act-ed.ps The Act formalism provides a medium in which to express knowledge about actions for both the SIPE-2 plan generation system and the PRS plan execution system. This document describes the Act-Editor, which provides a graphical user interface for creating and manipulating Acts. The document is designed for individuals who are already familiar with the Act formalism. The Act-Editor runs on Sun workstations with either Allegro Common Lisp 4.2/4.3 with CLIM 2.0/2.1, or Lucid Lisp 4.1 with CLIM 1.1., as well as Symbolics Lisp Machines.
myers.wilki-1997actforma:manual Karen L. Myers and David E. Wilkins The Act Formalism Artificial Intelligence Center, SRI International
Menlo Park, CA
Version 2.1 May 1997 http://www.ai.sri.com/\~act/act-spec.ps Provides a brief overview of the Act formalism, including a BNF grammar specification of Act.
myers.wilki-1998:reasoabout:journal: Karen L. Myers and David E. Wilkins Reasoning about Locations in Theory and Practice Computational Intelligence 1998 14 2 scheduled to appear http://www.ai.sri.com/\~wilkins/papers/cij-locations.ps Locational reasoning plays an important role in many applications of AI problem-solving systems, yet has remained a relatively unexplored area of research. This paper addresses both theoretical and practical issues relevant to reasoning about locations. We define several theories of location designed for use in various settings, along with a sound and complete belief revision calculus for each that maintains a STRIPS-style database of locational facts. Techniques for the efficient operationalization of the belief revision rules in planning frameworks are presented. These techniques were developed during application of the location theories to several large-scale planning tasks within the SIPE-2 planning framework.
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tate-1974:interplan:TR A. Tate {INTERPLAN}: {A} plan generation system which can deal with interactions between goals Machine Intelligence Research Unit, University of Edinburgh 1974 Research Memorandum MIP-R-109 tate-1975:intergoals:inbook:215 A. Tate Interacting goals and their use 4th International Joint Conference on Artificial Intelligence (IJCAI 75) 1975 215--218
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tate-1975:usinggoal:thesis A. Tate Using Goal Structure to Direct Search in a Problem Solver Department of AI, University of Edinburgh 1975 tate-1976:nonlihiera:TR Austin Tate {NONLIN}: {A} Hierarchical Non-Linear Planner Department of Artificial Intelligence, University of Edinburgh 1976 tate-1976:projeplann:TR Austin Tate Project Planning using a Hierarchical Non-Linear Planner Department of Artificial Intelligence, University of Edinburgh 1976 D.A.I. Research Report 25 August tate-1977:generproje:inbook:888 Austin Tate Generating Project Networks Proceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI 77) 1977 888--893
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tate-1977:projeplann:TR A. Tate Project Planning Using a Hierarchical Non-linear Planner Dept. of Artificial Intelligence, Edinburgh University 1977 25 tate-1984:functin:TR A. Tate Functions in context data base AI Applications Inst., Edinburgh U 1984 AIAI-TR-1 tate-1984:goalstruc:inbook:273 A. Tate Goal structure: capturing the intent of plans 6th European Conference on Artificial Intelligence (ECAI 84) Elsevier 1984 273--276
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tate-1984:goalstruc:TR A. Tate Goal structure: capturing the intent of plans AI Applications Inst., Edinburgh U 1984 AIAI-TR-3 tate-1984:planncondi:inbook:62 A. Tate Planning and condition monitoring in a {FMS} Intl. Conf. on the Development of Flexible Automation Systems 1984 62--69
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tate-1990:o-plachoic:inbook:192 A. Tate {O}-Plan2: Choice Ordering Mechanisms in an {AI} Planning Architecture Proc. of the Workshop on Innovative Approaches to Planning 1990 192--197
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tate-1994:emergstand:inbook:14 Austin Tate The Emergence of ``Standard'' Planning and Scheduling System Components -- Open Planning and Scheduling Architectures C. B{"{a}}ckstr{"{o}}m and E. Sandewell Current Trends in AI Planning: Proceedings of the 2nd European Workshop on Planning (EWSP-93) 1994
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tate-1996:repreplans:inbook:221 Austin Tate Representing Plans as a Set of Constraints - the <{I}-{N}-{OVA}> Model B. Drabble Proceedings of the 3rd International Conference on Artificial Intelligence Planning Systems (AIPS-96) 1996 AAAI Press 221--228 tate-1996:usingconst:inbook:151 A. Tate Using Constrains for Task-oriented Communication, Planning and Control (Position paper) Theories of Action, Planning, and Robot Control: Bridging the Gap: Proceedings of the 1996 AAAI Workshop 1996 151--152
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tate.curri-1985:o-platask:TR A. Tate and Ken Currie The {O}-Plan task formalism work station AI Applications Inst., Edinburgh U 1985 AIAI-TR-7 tate.drabb-1990:o-plachoic:TR A. Tate and B. Drabble {O}-Plan2: choice ordering mechanism in an {AI} Planning Architecture AI Applications Inst., Edinburgh University 1990 AIAI-TR-86 tate.drabb-1992:spacecomma:TR Austin Tate and Brian Drabble and Richard Kirby Spacecraft Command and Control Using {AI} Planning Techniques Artificial Intelligence Applications Institute, University of Edinburgh 1992 AIAI-TR 109 June tate.drabb-1994:usecondi:inbook:1129 Austin Tate and Brian Drabble and Jeff Dalton The Use of Condition Types to Restrict Search in an {AI} Planner Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI-94) 1994 2
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tenen.weber-1989:fromroche: Proceedings from the Rochester planning workshop : from formal systems to practical systems 1989 Josh Tenenberg and Jay Weber and James Allen
Rochester, NY
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Leeds, England
September Institution of Chemical Engineers (I.Chem.E)
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Kyoto, Japan
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tong-1987:goal-plann:inbook:284 Christopher Tong Goal-directed planning of the design process IEEE conf. on AI applications 1987 284--289 toome-1992:whengoals:inbook:311 Christopher N. Toomey When Goals Arn't Good Enough James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 311--312
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Palo Alto
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Menlo Park, California
AAAI Press 1-57735-021-9
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Raleigh, NC
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turne-1986:derivappro:inbook:858 R. M. Turner A derivational approach to plan refinement for advice-giving Proceedings of the 1986 IEEE International Conference on Systems, Man, and Cybernetics 1986 858--862 turne-1987:issuein:TR R. M. Turner Issues in the Design of Advisory Systems: {T}he Consumer-Advisor System School of Information and Computer Science, Georgia Institute of Technology 1987 GIT--ICS--87/19
Atlanta, GA 30332
turne-1987:modifprevi:inbook: R. M. Turner Modifying previously-used plans to fit new situations Proceedings of the Ninth Annual Conference of the Cognitive Science Society 1987
Seattle, Washington
turne-1988:opporuse:inbook: R. M. Turner Opportunistic use of schemata for medical diagnosis Proceedings of the Tenth Annual Conference of the Cognitive Science Society 1988
Montreal, Canada
turne-1988:usingschem:inbook: R. M. Turner Using schemata for diagnosis Proceedings of the Twelfth Annual Symposium on Computer Applications in Medical Care 1988
Washington, DC
turne-1989:case-schem:inbook: Roy M. Turner Case-based and schema-based reasoning for problem solving Proceedings of the DARPA Case-Based Reasoning Workshop 1989
Pennsacola, FL
turne-1989:usingschem:journal:199 Roy M. Turner Using schemas for diagnosis Computer Methods and Programs in Biomedicine 1989 30 2/3 199--208
turne-1989:whenreact:inbook:940 Roy M. Turner When reactive planning is not enough: {U}sing contextual schemas to react appropriately to environmental change Proceedings of the Eleventh Annual Conference of the Cognitive Science Society 1989 940--947
Detroit, MI
turne-1990:integinten:TR Elise H. Turner Integrating Intention and Convention to Organize Problem Solving Dialogues School of Information and Computer Science, Georgia Institute of Technology 1990 GIT--ICS--90/02 Ph.D. thesis. turne-1990:mechafor:TR Roy M. Turner A Mechanism for Context-sensitive Reasoning Department of Computer Science, University of New Hampshire 1990 90--68
Durham, NH 03824
turne-1992:medic:inbook:916 Roy M. Turner {MEDIC} Stuart C. Shapiro Encyclopedia of Artificial Intelligence John Wiley & Sons, Inc. 1992 2 916
New York
second
turne-1993:contereaso:inbook: Roy M. Turner Context-sensitive reasoning for autonomous agents and cooperative distributed problem solving Proceedings of the IJCAI Workshop on Using Knowledge in its Context 1993
Chamb\'ery, France
August
turne-1993:explopredi:inbook:142 Elise H. Turner Exploiting Predictions to Organize Goals in Real-World Domains Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 142--145 AAAI Press, Menlo Park, California turne-1994:adaptreaso: Roy M. Turner Adaptive Reasoning for Real-World Problems: {A} Schema-Based Approach Lawrence Erlbaum Associates 1994
Hillsdale, NJ
(A revised version of \cite{turner:thesis}.)
turne-1995:conteadapt:inbook: Roy M. Turner Context-sensitive, adaptive reasoning for intelligent {AUV} control: {O}rca project update Proceedings of the 9th International Symposium on Unmanned Untethered Submersible Technology 1995
Durham, NH
September
turne-1995:intelcontr:inbook: Roy M. Turner Intelligent Control of Autonomous Underwater Vehicles: {T}he {O}rca Project Proceedings of the 1995 IEEE International Conference on Systems, Man, and Cybernetics 1995 Vancouver, Canada turne-1995:orcaintel:inbook:52 Roy M. Turner Orca: {I}ntelligent adaptive reasoning for autonomous underwater vehicle control Proceedings of the FLAIRS--95 International Workshop on Intelligent Adaptive Systems 1995 52--62
Melbourne, Florida
turne-1997:deterconte:inbook: Roy M. Turner Determining the context-dependent meaning of fuzzy subsets Proceedings of the 1997 International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT-97) 1997
Rio de Janeiro
turne.brigg-1993:respoto:TR Elise H. Turner and Terri L. Briggs Responding to Unanticipated Goals when Planning Travel for Autonomous Underwater Vehicles {University of New Hampshire} 1993 93-16 December turne.brigg-1994:respoto:inbook:493 Elise H. Turner and Terri L. Briggs Responding to Unanticipated Goals when Planning Travel for Autonomous Underwater Vehicles Proceedings of of the Tenth IEEE Conference on Artificial Intelligence Applications (CAIA-94) 1994 493--494 turne.culli-1988:usingconve:TR E. H. Turner and R. E. Cullingford Using Conversation {MOP}s in Natural Language Processing School of Information and Computer Science, Georgia Institute of Technology 1988 GIT--ICS--88/14
Atlanta, GA 30332
turne.culli-1989:makinconve:inbook:932 Elise H. Turner and Richard E. Cullingford Making conversation flexible Proceedings of the Eleventh Annual Conference of the Cognitive Science Society 1989 932--939
Detroit, MI
turne.culli-1989:usingconve:journal:63 E. H. Turner and R. E. Cullingford Using Conversation {MOP}s in Natural Language Interfaces Discourse Processes 1989 12 1 63--91
turne.eaton-1994:handlunant:inbook: Roy M. Turner and Peggy S. Eaton and Martin J. Dempsey Handling unanticipated events in single and multiple {AUV} systems Proceedings of the IEEE Oceanic Engineering Society Conference (Oceans '94 OSATES) 1994
Brest, France
turne.eaton-1994b:handlunant:journal: Roy M. Turner and Peggy S. Eaton and Martin J. Dempsey Handling unanticipated events in single and multiple {AUV} systems {l}'Onde Electrique 1994 Published by Soci\'et\'e des Electriciens et des Electroniciens (SEE) b
turne.eaton-1994c:handlunant:inbook: Roy M. Turner and Peggy S. Eaton Handling unanticipated events during collaboration Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society 1994
Atlanta, Georgia
c
turne.steve-1991:orcaadapt:inbook: R. M. Turner and R. A. G. Stevenson {\sc Orca}: {A}n adaptive, context-sensitive reasoner for controlling {AUV}s Proceedings of the 7th International Symposium on Unmanned Untethered Submersible Technology ({AUV} '91) 1991 turne.turne-1991:schemappro:inbook: E. H. Turner and R. M. Turner A schema-based approach to cooperative behavior Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society 1991 turne.turne-1991b:schemappro:inbook: E. H. Turner and R. M. Turner A schema-based approach to cooperative problem solving with autonomous underwater vehicles Proceedings of the 1991 Conference of the IEEE Oceanic Engineering Society (Oceans '91) 1991 b turne.turne-1996:organreorg:inbook: R. M. Turner and E. H. Turner and D. R. Blidberg Organization and Reorganization of Autonomous Oceanographic Sampling Networks Proceedings of the 1996 IEEE Symposium on Autonomous Underwater Vehicle Technology 1996
Monterey, CA
June
turne.turne-1997:coopebehav:inbook: Roy M. Turner and Elise H. Turner and Steven G. Chappell Cooperative Behavior in an Autonomous Oceanographic Sampling Network: {MAUV} {P}roject Update Proceedings of the 10th International Symposium on Unmanned Untethered Submersible Technology (UUST) 1997 September
turne.turne:adaptorgan:journal: Roy M. Turner and Elise H. Turner Adaptive Organization and Reorganization of Autonomous Oceanographic Sampling Networks {\rm Submitted to the} Journal of Applied Intelligence submitted
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Carnegie Mellon University, Pittsburgh, PA
June Springer-Verlag Hierarchy as: programs at one level are binary steps, but are perhaps paths at a lower level. also refs to process logic.
vargh-1986:non-cinfer:thesis Joseph Varghese A non-clausal inference method for program derivation Colorado State U 1986 UMI NDS86-18208 velle-1986:doxastheor:inbook: J. David Velleman The doxastic theory of intention Michael Georgeff and Amy Lansky Reasoning about actions and plans: Proceeding of 1986 workshop 1986
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Morgan Kaufmann
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velos.stone-1997:layerappro:inbook: Manuela Veloso and Peter Stone and Sorin Achim A Layered Approach for an Autonomous Robotic Soccer System Proceedings of the First International Conference on Autonomous Agents 1997
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Palo Alto, CA
Goal regression introduced and well explained. Many examples.
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San Mateo, CA
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Menlo Park, California
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Miami Beach, Florida
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August AAAI Press/MIT Press 0-262-51078-2 Planning: Agents 1042--1047
wellm-1986:qualiproba:inbook:311 N. Wellman Qualitative probabilistic networks for planning under uncertainty AAAI workshop on uncertainty in AI 1986 311--318
Menlo Park, CA
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wellm-1990:stripassum:inbook:198 Michael P. Wellman The {STRIPS} Assumption for Planning Under Uncertainty Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90) 1990
Boston, Massachusetts, USA
July AAAI Press/MIT Press 0-262-51057-X Planning 198--203
wellm-1993:challdecis:inbook:156 Michael P. Wellman Challenges of Decision-Theoretic Planning Foundations of Automatic Planning: The Classical Approach and Beyond: Papers from the 1993 AAAI Spring Symposium 1993 156ff AAAI Press, Menlo Park, California wellm.doyle-1991:prefeseman:inbook:698 Michael P. Wellman and Jon Doyle Preferential Semantics for Goals Proceedings of the Ninth National Conference on Artificial Intelligence (AAAI-91) 1991 2
Anaheim, California, USA
July AAAI Press/MIT Press 0-262-51059-6 Representation in Planning 698--703
wellm.doyle-1992:modulutili:inbook:236 Michael P. Wellman and Jon Doyle Modular Utility Representation for Decision-Theoretic Planning James Hendler Artificial Intelligence Planning Systems: Proceedings of the First International Conference (AIPS 92) 1992 236--242
College Park, Maryland, USA
June Morgan Kaufmann 1-55860-250-x
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werne-1989:modallogic:TR Eric Werner Modal Logic of Games University of Saarbruecken 1989 WISBER Report Nr. B48 werne-1990:unifiview:inbook:69 Eric Werner A unified view of information, intention and ability Second European Workshop on modelizing autonomous agents and multi-agent worlds 1990 69--83
St Quentin en Yvelines
August
wesso-1977:plannin:inbook:473 Robert B. Wesson Planning in the world of the air traffic controller 5th International Joint Conference on Artificial Intelligence (IJCAI 77) 1977 473--479 very interesting and important wesso-1977:problwith:thesis Robert Bell Wesson Problem-solving with simulation in the world of an air traffic controller Dept CS, U of Texas at Austin 1977 UMI 7807407
white-1990:surveon:journal:358 C. C. White A survey on the integration of decision analysis and expert systems for decision support IEEE trans. on systems, man and cybernetics 1990 20 2 358--364
white-1991:partiobser:journal: Chelsea C. {White, III} Partially observed {M}arkov decision processes: {A} survey Annals of Operations Research 1991 32
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wicke-1974:howto: W. A. Wickelgren How to solve problems: elements of a theory of problems and problem solving W. H. Freeman Books 1974
New York
wilen-1976:usingplans:inbook:46 R. Wilensky Using plans to understand natural language ACM '76 proc 1976 46--50 wilen-1977:pamprogr:inbook:15 R. Wilensky {PAM}, a program that infers intentions 5th International Joint Conference on Artificial Intelligence (IJCAI 77) 1977 15
Cambridge, MA
wilen-1978:undergoal-:thesis R. Wilensky Understanding goal-based stories Dept CS, Yale U 1978 wilen-1978:undergoal-:TR R. Wilensky Understanding goal-based stories Dept CS, Yale U 1978 research report 140
wilen-1978:whyjohn:journal:235 R. Wilensky Why John married Mary: understanding stories involving recurring goals Cognitive science 1978 2 235--266
wilen-1980:meta-repre:TR R. Wilensky Meta-planning: representing and using knowledge about planning in problem solving and natural language understanding Electronics reseach lab, UC at Berkeley 1980 UCB/ERL M80/33 wilen-1980:metap:inbook:334 R. Wilensky Metaplanning National Conference on Artificial Intelligence of the American Association for AI (AAAI 80) 1980 334ff
wilen-1981:meta-repre:journal:197 Robert Wilensky Meta-planning: {R}epresenting and using knowledge about planning in problem solving and natural language understanding Cognitive Science 1981 5 3 197--233 July--September
wilen-1981:modelfor:journal: R. Wilensky A model for planning in everyday situations Cognition and Brain Theory 1981 IV 4
wilen-1981:modelfor:TR R. Wilensky A model for planning in complex situations Electronics research lab., UC at Berkeley 1981 UCB/ERL M81/49 June wilen-1983:plannunder: Robert Wilensky Planning and Understanding --- a computational approach to human reasoning Adison-Wesley 1983 wilen-1987:somecompl:inbook: R. Wilensky Some Complexities of Goal Analysis Proc. of TINLAP-3 1987
Las Cruces, NM
wilen-1988:meta-repre:inbook:514 R. Wilensky Meta-Planning: Representing and Using Knowledge About Planning in Problem Solving and Natural Language Understanding A. Collins and E. E. Smith Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence Kaufmann 1988 514--532
San Mateo, CA
wilen-1989:somecompl:inbook:109 R. Wilensky Some Complexities of Goal Analysis Y. Wilks Theoretical Issues in Natural Language Processing Erlbaum 1989 109--111
Hillsdale, NJ
wilen-1990:modelfor:inbook:263 R. Wilensky A Model for Planning in Complex Situations J. Allen and J. Hendler and A. Tate Readings in Planning Kaufmann 1990 263--274
San Mateo, CA
wilen-1991:ontolrepre:inbook:558 R. Wilensky The Ontology and Representation of Situations J. Allen and R. Fikes and E. Sandewall Principles of Knowledge Representation and Reasoning: Proc. of the Second International Conference (KR'91) Kaufmann 1991 558--569
San Mateo, CA
wilki-1979:usingpatte:thesis D. E. Wilkins Using patterns and plans to solve problems and control search Stanford 1979 July wilki-1979:usingpatte:TR D. E. Wilkins Using patterns and plans to solve problems and control search Dept of Computer Science, Stanford University 1979 AI Memo 329 wilki-1979:usingplans:inbook:960 David E. Wilkins Using Plans in Chess Proceedings of the 1979 International Joint Conference on Artificial Intelligence 1979 960--967
Tokyo, Japan
wilki-1980:repreknowl:inbook: D. E. Wilkins Representing knowledge in an interactive planner National Conference on Artificial Intelligence of the American Association for AI (AAAI 80) 1980
wilki-1980:usingpatte:journal:165 David E. Wilkins Using Patterns and Plans in Chess Artificial Intelligence 1980 14 165--203
wilki-1981:usingpatte:inbook:390 David E. Wilkins Using Patterns and Plans in Chess Bonnie Weber and Nils Nilsson Readings in Artificial Intelligence Tioga Publishing 1981 390--409 wilki-1982:domaiplann:TR D. E. Wilkins Domain-independent planning: representation and plan generation SRI International 1982 AI center technical note 266 August wilki-1982:paralin:inbook:1 D. E. Wilkins Parallelism in planning and problem solving 4nd Conf. of the Canadian Society for the Computational Study of Intelligence (CSCSI 82) 1982 1--7 wilki-1982:paralin:TR D. E. Wilkins Parallelism in planning and problem solving SRI International 1982 AI center technical note 258
wilki-1982:usingknowl:journal:1 D. E. Wilkins Using Knowledge to Control Tree Searching Artificial Intelligence 1982 18 1--51
wilki-1983:domaiplann:TR D. E. Wilkins Domain-independent planning: representation and plan generation SRI International 1983 AI center technical note 266R May wilki-1983:reprein:inbook:733 D. E. Wilkins Representation in a domain independent planner Proc. of the 8th Int. Joint Conf. on Artificial Intelligence (IJCAI 83) 1983 733--740
Karlsruhe, Germany
wilki-1984:domaiplann:journal:269 David E. Wilkins Domain-Independent Planning: Representation and Plan Generation Artificial Intelligence 1984 22 3 269--301 A domain-independent planning program that supports both automatic and interactive generation of hierarchical, partially ordered plans is described. An improved formalism makes extensive use of constraints and resources to represent domains and actions more powerfully. The formalism also offers efficient methods for representing properties of objects that do not change over time, allows specification of the plan rationale (which includes scoping of conditions and appropriately relating different levels in the hierarchy), and provides the ability to express deductive rules for deducing the effects of actions. The implications of allowing parallel actions in a plan or problem solution are discussed, and new techniques for efficiently detecting and remedying harmful parallel interactions are presented. The most important of these techniques, reasoning about resources, is emphasized and explained. The system supports concurrent exploration of different branches in the search, making best-first search easy to implement.
wilki-1984:monitexecu:TR D. E. Wilkins Monitoring the execution of plans in {SIPE} SRI International 1984 AI center technical note 341 wilki-1985:hieraplann:TR D. E. Wilkins Hierarchical Planning: Definition and Implementation SRI International 1985 AI center technical note 370 December
wilki-1985:recovfrom:journal:33 David E. Wilkins Recovering from Execution Erors in {SIPE} Computational Intelligence 1985 1 1 33--45
wilki-1985:recovfrom:TR D. E. Wilkins Recovering from execution errors in {SIPE} SRI International 1985 AI center technical note 346 January here is a recent attack on monitoring and replanning. wilki-1986:hieraplann:inbook:466 D. E. Wilkins Hierarchical Planning: Definition and Implementation 7th European Conference on Artificial Intelligence (ECAI 86) 1986 466--478
Brighton, UK
wilki-1986:high-plann:journal: D. E. Wilkins High-level planning in a mobile robot domain J Man-Machine Systems 1986
wilki-1986:high-plann:TR David E. Wilkins High-Level Planning in a Mobile Robot Domain SRI International Artificial Intelligence Center 1986 Technical Report 388
Menlo Park, CA
July
wilki-1987:hieraplann:inbook:659 David E. Wilkins Hierarchical Planning: Definition and Implementation B. Boulay and D. Hogg and L. Steels Advances in Artificial Intelligence II North-Holland 1987 659--671 There is considerable ambiguity involved in hierarchical planning. We present a definition of the latter, and examine several of the reasons for this confusion. An explication of hierarchical-planning implementations entails two distinct notions: {\it abstraction level} and {\it planning level}. A problem in currently implemented planners that is caused by mixing these two levels is presented and various remedies suggested. Three solutions that have been implemented in the current SIPE planning system are described. wilki-1987:usingcausa:TR D. E. Wilkins Using causal rules in planning SRI International 1987 AI center technical note 410
wilki-1988:casuareaso:journal:373 D. E. Wilkins Casual Reasoning in Planning Computational Intelligence 1988 4 373--380
wilki-1988:causareaso:journal:373 David E. Wilkins Causal Reasoning in Planning Computational Intelligence 1988 4 4 373--380 Reasoning about actions necessarily involves tracking the truth of assertions about the world over time. The SIPE planning system retains the efficiency of the STRIPS assumption for this while enhancing expressive power by allowing the specification of a causal theory. Separation of knowledge about causality from knowledge about actions relieves operators of much of their representational burden and allows them to be applicable in a wide range of contexts. The implementation of causal theories is described, together with examples and evaluations of the system's expressive power and efficiency.
wilki-1988:practplann: David E. Wilkins Practical Planning: Extending the Classical {AI} Planning Paradigm Morgan Kaufmann Publishers Inc., San Mateo, CA 1988
wilki-1988:speciissue:journal:317 D. E. Wilkins Special Issue on Planning: An Introduction Computational Intelligence 1988 4 317--318
wilki-1989:canai:TR D. E. Wilkins Can {AI} planners solve practical problems? SRI International 1989 AI center technical note 468R November SIPE-2 on beer wilki-1989:knowlbase:inbook:247 D. C. Wilkins Knowledge Base Refinement Using Apprenticeship Learning Techniques K. Morik Knowledge Representation and Organization in Machine Learning Springer 1989 247--257
Berlin, Heidelberg
wilki-1990:canai:journal:232 David E. Wilkins Can {AI} Planners Solve Practical Problems? Computational Intelligence 1990 6 4 232--246 While there has been recent interest in research on planning and reasoning about actions, nearly all research results have been theoretical. We know of no previous examples of a planning system that has made a significant impact on a problem of practical importance. One of the primary goals during the development of the SIPE-2 planning system has been the balancing of efficiency with expressiveness and flexibility. With a major new extension, SIPE-2 has begun to address practical problems. This paper describes this new extension and the new applications of the planner. One of these applications is the problem of producing products from raw materials on process lines under production and resource constraints. This is a problem of commercial importance and SIPE-2's application to it is described in some detail.
wilki-1990:domaiplann:inbook:319 D. E. Wilkins Domain-Independent Planning: Representation and Plan Generation J. Allen and J. Hendler and A. Tate Readings in Planning Kaufmann 1990 319--335
San Mateo, CA
wilki-1990:knowlbase:inbook:493 D. C. Wilkins Knowledge Base Refinement as Improving an Incorrect and Imcomplete Domain Theory Y. Kodratoff and R. S. Michalski Machine Learning: An Artificial Intelligence Approach (Volume III) Kaufmann 1990 493--513
San Mateo, CA
wilki-1993:knowlbase:inbook:631 D. C. Wilkins Knowledge Base Refinement as Improving an Incorrect and Incomplete Domain Theory B. G. Buchanan and D. C. Wilkins Readings in Knowledge Acquisition and Learning: Automating the Construction and Improvement of Expert Systems Kaufmann 1993 631--641
San Mateo, CA
wilki-1997:thatssomet:inbook:305 David E. Wilkins That's something {I} cannot allow to happen: {HAL} and Planning David G. Stork HAL's Legacy: 2001's Computer as Dream and Reality MIT Press, Cambridge, MA 1997 305--332 http://www-mitpress.mit.edu/mitp/recent-books/comp/stogh.html David E. Wilkins' comments on HAL's bad planning but impressive improvisation ..... makes for delightful reading. --- Paul Preuss, San Jose Mercury News Book Reviews, 12 January 1997. wilki-1997usingsipe-plann:manual David E. Wilkins Using the {SIPE}-2 Planning System: {A} Manual for Version 4.14 SRI International Artificial Intelligence Center
Menlo Park, CA
February 1997 http://www.ai.sri.com/\~sipe/manual.ps This document is intended to help new users of SIPE-2 get started. Readers wishing to program in SIPE-2 should be familiar with the representational ideas underlying the system which can be found in the book {\it Practical Planning: Extending the Classical AI Planning Paradigm,} by D. E. Wilkins, Morgan Kaufmann Publishers Inc, 1988, and in the sections of this document denoted as advanced concepts. This document should not be treated as a polished or comprehensive reference. It will not be complete or even correct, as the SIPE-2 system is constantly changing.
wilki.clanc-1987:knowlbase:journal:281 D. C. Wilkins and W. J. Clancey and B. G. Buchanan Knowledge Base Refinement by Monitoring Abstract Control Knowledge Int. Journal of Man-Machine Studies 1987 27 281--293
wilki.desim-1994:applyai:inbook:685 David E. Wilkins and Roberto V. Desimone Applying an {AI} Planner to Military Operations Planning M. Fox and M. Zweben Intelligent Scheduling Morgan Kaufmann Publishers Inc., San Mateo, CA 1994 685--709 http://www.ai.sri.com/\~wilkins/papers/tn534.ps This paper describes a prototype system for quickly developing joint military courses of action. The system, SOCAP (System for Operations Crisis Action Planning), combines a newly extended version of an AI planning system, SIPE-2 (System for Interactive Planning and Execution), with a color map display and applies this technology to military operations planning. This paper describes the Socap problem domain, how SIPE-2 was used to address this problem, and the strengths and weaknesses of our approach. wilki.myers-1994:commoknowl:TR D. E. Wilkins and K. L. Myers A Common Knowledge Representation for Plan Generation and Reactive Execution SRI 1994 532R July wilki.myers-1994:cypreplann:inbook:111 David E. Wilkins and Karen L. Myers and Leonard P. Wesley {CYPRESS}: Planning and Reacting under Uncertainity Mark H. Burstein ARPA/Rome Laboratory Planning and Scheduling Initiative Workshop Proceedings Morgan Kaufmann Publishers Inc., San Mateo, CA 1994 111--120 February http://www.ai.sri.com/\~cypress/report/tucson/tucson.html wilki.myers-1994:integplann:inbook: David E. Wilkins and Karen L. Myers Integrating Planning and Reactive Control Third International Symposium on Artificial Intelligence, Robotics, and Automation for Space 1994
Jet Propulsion Laboratory, Pasadena, CA
http://www.ai.sri.com/\~wilkins/papers/isairas-94.ps
wilki.myers-1994:plannreact:journal:197 D. E. Wilkins and K. L. Myers and J. D. Lowrance and L. P. Wesley Planning and Reacting in Uncertain and Dynamic Environments Journal of Experimental and Theoretical AI 1994 6 197--227
wilki.myers-1995:commoknowl:journal:731 David E. Wilkins and Karen L. Myers A Common Knowledge Representation for Plan Generation and Reactive Execution Journal of Logic and Computation 1995 5 6 731--761 December http://www.ai.sri.com/\~wilkins/papers/jlc-www.ps The ability to integrate sophisticated planning techniques with reactive execution systems is critical for nontrivial applications. Merging these two technologies is difficult because the forms of knowledge and reasoning that they employ differ substantially. The ACT formalism is a language for representing the knowledge required to support both the generation of complex plans and reactive execution of those plans in dynamic environments. A design goal of ACT was its adequacy for practical applications. ACT has been used as the interlingua in an implemented system that links a previously implemented planner with a previously implemented executor. This system has been used in several applications, including robot control and military operations, thus attesting to its expressive and computational adequacy.
wilki.myers-1995:plannreact:journal:197 David E. Wilkins and Karen L. Myers and John D. Lowrance and Leonard P. Wesley Planning and Reacting in Uncertain and Dynamic Environments Journal of Experimental and Theoretical AI 1995 7 1 197--227 Taylor & Francis http://www.ai.sri.com/\~wilkins/papers/jetai.ps Agents situated in dynamic and uncertain environments require several capabilities for successful operation. Such agents must monitor the world and respond appropriately to important events. The agents should be able to accept goals, synthesize complex plans for achieving those goals, and execute the plans while continuing to be responsive to changes in the world. As events render some current activities obsolete, the agents should be able to modify their plans while continuing activities unaffected by those events. The CYPRESS system is a domain-independent framework for defining persistent agents with this full range of behavior. CYPRESS has been used for several demanding applications, including military operations, real-time tracking, and fault diagnosis.
wilki.myers-1996:asyncdynam:inbook:267 David E. Wilkins and Karen L. Myers Asynchronous Dynamic Replanning in a Multiagent Planning Architecture A. Tate Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative 1996 267--274
AAAI Press, Menlo Park, CA
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