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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-1985:reasoabout:inbook: M. P. Georgeff Reasoning about procedural knowledge Proc AIAA/ACM/NASA/IEEE Computers in Aerospace Conf 1985
Long Beach, California
georg-1986:actioproce:inbook: Michael Georgeff Actions, processes and causality Michael Georgeff and Amy Lansky Reasoning about actions and plans: proceeding of 1986 workshop 1986 Morgan Kaufmann georg-1986:repreevent:inbook:70 Michael Georgeff A representation of events in multi-agent domains National Conference on Artificial Intelligence of the American Association for AI (AAAI 86) 1986 70--75 georg-1987:actioproce:inbook:123 M. P. Georgeff Actions, Processes, and Causality M. P. Georgeff and A. Lansky Reasonning about Actions and Plans, Proceedings of the 1986 Workshop, Timberline, Oregon 1987 123--159 Morgan Kaufmann 0-934613-30-3 georg-1987:commuinter:inbook:200 M. P. Georgeff Communication and interaction in multi-agent planning Proc. of the Nat. Conf. on Artificial Intelligence 1987 200--204
Seattle, Washington, USA
July
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
Lawrence, Kansas
georg-1987:manyagent:TR M. P. Georgeff Many agents are better than one [revised] SRI International 1987 AI center technical note SRI-AI 417 March georg-1987:plann:inbook: M. P. Georgeff Planning J. Traub Annual review of computer science 2 Annual Reviews Inc 1987
Palo Alto
georg-1987:plann:journal:359 Michael P. Georgeff Planning Annual Review of Computer Science 1987 2 359--400
georg-1987:plann:TR M. P. Georgeff Planning SRI International 1987 Technical Note 418 georg-1987:repreevent:inbook:210 M. P. Georgeff The representation of events in multi-agent domains Proc. of the Nat. Conf. on Artificial Intelligence 1987 210--215
Seattle, Washington, USA
July
georg-1988:embedreal-:inbook: Michael Georgeff An embedded real-time reasoning system Proc. 12 IMACS world congress 1988
Paris
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
Rochester NY
October
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
Detroit, Michigan
AAAI Press, Menlo Park, CA
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
Los Angeles
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
Temberline, Oregon
Morgan Kaufmann
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
Menlo Park, California
January
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
Seattle, Washington
July
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
NASA Jet Propulsion Laboratory, Pasadena, California
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
Seattle, Washington, USA
July
ger-1977:logicalgor:journal:243