BooksX. Liu, P. Cohen, M. Berthold, (Eds.) Advances in Intelligent Data Analysis: Reasoning about Data 1997. Heidelberg: Springer-Verlag.Paul R. Cohen. Empirical Methods for Artificial Intelligence. 1995. Cambridge, Mass: The MIT Press. Avron B. Barr, Paul R. Cohen and Edward A. Feigenbaum. The Handbook of Artificial Intelligence, Volume IV. 1989. Reading, Mass: Addison Wesley. Paul R. Cohen. Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach. 1985. London: Pitman Advanced Publishing Program. Paul R. Cohen and Edward A. Feigenbaum. The Handbook of Artificial Intelligence, Volume 3. 1985. Los Altos, CA.: William Kaufmann. |
Carole R. Beal
& Paul R. Cohen. Temporal
Data Mining for Educational
Applications. Submitted to the 2006 International Conference on
Data Mining.Recent
Submissions and Reports
|
Clayton T. Morrison. Paul R. Cohen. The Colab Mixed-Initiative Analysis Environment. The 9th International Conference on Information Fusion (Fusion 2006), special session on Making Histories. 2006.
Clayton T. Morrison. Paul R. Cohen. The Hats Information Fusion Challenge Problem. The 9th International Conference on Information Fusion (Fusion 2006), special session on Distributed Inference and Decision-Making in Multisensor Systems. 2006.
Clayton T. Morrison.
Paul R. Cohen. The
Hats
Simulator and Colab: An Integrated Information Fusion Challenge Problem
and Collaborative Analysis Environment. Proceedings of the
IEEE
International Conference on Intelligence and Security Informatics (ISI
2006). LNCS 3975. 2006.
Clayton T. Morrison and Paul R. Cohen. COLAB: A Laboratory Environment For Studying Analyst Sensemaking and Collaboration. Proceedings of the Tenth International Command and Control Research and Technology Symposium 2005.
Robert St. Amant, Clayton T.
Morrison,
Yu-Han Chang, Paul R. Cohen,
and Carole Beal. An
Image Schema Language. The
International Conference on Cognitive Modeling. 2006.
Trieste.
Clayton Morrison and Yu-Han Chang and
Paul Cohen and Joshua Moody. Experimental
State Splitting for Transfer Learning.
ICML 2006 Workshop on Structural Knowledge
Transfer for Machine Learning. 2006.
Yu-Han Chang and Clayton Morrison and Wesley Kerr and Paul Cohen and Robert St. Amant. The
Jean System. International
Conference on Development and Learning. 2006.
Yu-Han Chang, Paul R. Cohen, Clayton Morrison,
Robert St. Amant. Piagetian
Adaptation Meets Image Schemas: The Jean System. Proceedings of the Ninth Annual
Conference on the Simulation of Adaptive Behavior. Rome.
2006. Also published in From Animals to Animats 9, Springer Lecture
Notes in Computer Science, Vol 4095.
Aram Galstyan. Paul R. Cohen. Inferring Useful Heuristics from the Dynamics of Iterative Relational Classifiers. Nineteenth International Conference on Artificial Intelligence (IJCAI) Edinburgh, Scotland. 2005
Paul
Cohen,
Clayton Morrison and Erin Cannon. Maps
for Verbs: The Relationship between Interaction Dynamics and Verb
Use. Nineteenth International Conference on Artificial
Intelligence (IJCAI) Edinburgh, Scotland. 2005
Carole R. Beal and Paul R. Cohen. Computational methods for evaluating student and group learning histories in intelligent tutoring systems. 12th International Conference on Artificial Intelligence in Education, July 18-22, 2005, Amsterdam. 2005
Tim Oates, Paul Cohen, Bill Krueger, Carole Beal, Tom Armstrong. Learning
by Doing and Knowledge Transfer. Accepted as a poster
at Nineteenth International Conference on Artificial Intelligence
(IJCAI) Edinburgh, Scotland.
Aram
Galstyan and Paul Cohen.
Is guilt by association a bad thing? First International Conference on
Intelligence Analysis. Washington D.C. 2005.
Aram
Galstyan and Paul Cohen. Identifying
Covert Sub-Networks Through Iterative Node Classification. First International Conference on
Intelligence Analysis. Accepted as a poster. Washington D.C.
2005.
Andrew C. Hannon, Gary King, Clayton Morrison, Aram Galstyan and Paul
Cohen. Population Generation for
Large-Scale Simulation. Proceedings of AeroSense 2005
Clayton T. Morrison, Paul R. Cohen, Gary W. King,
Joshua Moody and Andrew Hannon Simulating
Terrorist Threats in the Hats Simulator. First International Conference on
Inelligence Analysis. Washington D.C. 2005.
Clayton T. Morrison.
Paul R. Cohen. The
Value
of Noisy Information. The Eleventh ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD 2005), Workshop
on Utility-Based Data Mining. 2005.
Gary. W. King, Matthew Schmill, Andrew Hannon, and Paul Cohen. Asymmetric
Threat Assessment Tool (ATAT).
In Proceedings of the 14th Conference on Behavior Representation in
Modeling and Simulation (BRIMS) (Orlando, FL, May 2005), L. Allender
and T. Kelley, Eds.
"'Bonk!' Children’s Spontaneous
Production
of Verbs for Object Interactions", Erin Cannon and Paul Cohen and
Clayton Morrison. Poster at the 2005 Biennial Meeting of the Society
for Research in Child Development. 2005.
Paul
R.
Cohen and Clayton T. Morrison. The
Hats Simulator. Proceedings of the 2004 Winter Simulation
Conference.
Ken
Barker, Jim Blythe, Gary Borchardt,
Vinay
K. Chaudhri, Peter E. Clark, Paul
Cohen, Julie Fitzgerald, Ken Forbus,
Yolanda Gil, Boris Katz, Jihie Kim, Gary King, Sunil Mishra, Ken
Murray, Charley Otstott, Bruce Porter, Robert C. Schrag, Tomás
Uribe,
Jeff Usher, Peter Z. Yeh A
Knowledge Acquisition Tool for Course of Action Analysis
Conference on Innovative Applications of Artificial Intelligence (IAAI)
2003
Brendan Burns, Charles Sutton, Clayton Morrison and Paul Cohen. Information Theory and Representation in Associative Word Learning, Proceedings of the Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. 2003
Sutton, Charles, Brendan Burns, Clayton T. Morrison, Paul R. Cohen. 2003. Guided Incremental Construction of Belief Networks. Fifth International Symposium on Intelligent Data Analysis.
Cohen, Paul R. and Charles Sutton. 2003. Very Predictive Ngrams for Space-Limited Probabilistic Models. Fifth International Symposium on Intelligent Data Analysis.
Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 2001. Bayesian Clustering by Dynamics. Machine Learning, vol. 47 , no. 1, pp. 91-121.
Beal, Carole R.,Joseph Beck, David Westbrook, and Paul R. Cohen. 2002. Intelligent modeling of the User in Interactive entertainment. AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment, 2002.
Paul R. Cohen, Brent Heeringa, Niall M. Adams. An Unsupervised Algorithm for Segmenting Categorical Time Series into Episodes. . Proceedings of International Conference on Data Mining. pp. 99-106. Maebashi City. Japan. 2002. Also appeared in the Working Notes of the 2002 ESF Exploratory Workshop on Pattern Detection and Discovery in Data Mining.Cohen, Paul R., Tim Oates,Carole R. Beal, Niall Adams. 2002. Contentful Mental States for Robot Baby. To be presented at The Eighteenth National Conference on Artificial Intelligence.
Cohen, Paul R.,Charles Sutton, Brendan Burns. 2002. Learning effects of Robot Actions using Temporal Associations.The 2nd International Conference on Development and Learning (ICDL'02).
Morrison, Clayton T., Paul R. Cohen, Paola Sebastiani. 2002. On the Development of Visual Object Memory: The Stay/Go Decision Problem.The 2nd International Conference on Development and Learning (ICDL'02).
Brendan Burns and Paul Cohen 2002 A Probabilistic Approach to Real Time Construction of MemoriesProceedings of the Seventh International Autonomous Systems Conference, Marina del Rey.
King, Gary W., Brent Heeringa, Joe Catalano, David L. Westbrook, and Paul Cohen. Models of Defeat. Proceedings of the Second International Conference on Knowledge Systems for Colation Operations 2002. pp. 85-90.
King, Gary W., Marc Atkin and David L. Westbrook. 2002. Tapir: the Evolution of an Agent Control Language. First Joint Conference of Autonomous Agents and Multiagent Systems.
Schmill, Matthew.
2002.
A
Motivational System that Drives the
Development of Activity. First Joint Conference of
Autonomous
Agents and Multiagent Systems.
Gary King, Marc Atkin, David Westbrook, and Paul Cohen. Tapir: an action
language beyond scripting. In Proceedings of the 3rd International
Conference on Computers and Games , July 2002.
McGeoch, Catherine, Peter Sanders, Rudolph Fleischer, Paul R. Cohen and Doina Precup. 2002. Using Finite Experiments to Study Asymptotic Performance. Experimental Algorithmics. Edited by Fleischer, Moret and Meineche Schmidt. Springer, pp. 93-124.
Cohen, Paul R, Tim Oates, Niall Adams and Carole Beal. 2001. Robot Baby 2001. Invited talk at the Twelfth International Conference on Algorithmic Learning Theory.
Cohen, Paul R. 2001. Fluent Learning: Elucidating the Structure of Episodes. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer
Cohen, Paul R
and Niall
Adams. 2001. An Algorithm for
Segmenting
Categorical Time Series into Meaningful Episodes. Proceedings
of the Fourth Symposium
on Intelligent Data
Analysis, Lecture Notes in Computer Science.
Springer
Cohen, Paul R, Niall Adams and David J. Hand. 2001. The IDA '01 Robot Data Challenge. Proceedings of the Fourth Symposium on Intelligent Data Analysis, Lecture Notes in Computer Science. Springer
Heeringa, Brent and Tim Oates. 2001. Incrementally Learning Parameters of Stochastic Context-Free Grammars using Summary Statistics. Working Notes of the AAAI Fall Symposium Series, pp. 58-63.
Marc Atkin and David Westbrook. 2001. Panel Discussion: Collaboration Between Academia and Industry: A Case Study. Working Notes of AAAI Spring Symposium, pp. 5-6.
King, Gary W. and Tim Oates. 2001. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence.
Morrison, Clayton T., Tim Oates and Gary W. King. 2001. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations.
Kaelbling, Leslie Pack, Tim Oates, Natalia Hernandez and Sarah Finney. 2001. Learning in Worlds with Objects. WorkingNotes of AAAI Spring Symposium Workshop: Learning Grounded Representations.
Marc Atkin, Gary W. King, David Westbrook, Brent Heeringa, Andrew Hannon and Paul Cohen. 2000. SPT: Hierarchical Agent Control: A Framework for Defining Agent Behavior. Proceedings of Fifth International Conference on Autonomous Agents, pp. 425-432.
St.
Amant,
Robert, Christopher Healy, Mark Riedl, Sarat Kocherlakota, David
Pegram and
Mika Torhola. 2001. Intelligent
Visualization
in a Planning Situation. Proceedings of International Conference on Intelligent
User
Interfaces, pp. 153-160.
Jensen, David, and Paul R. Cohen. 2000. Multiple Comparisons in Induction Algorithms. Machine Learning, vol. 38, no. 3, pp. 309-338. Abstract.
Marc Atkin, David L.Westbrook and Paul Cohen. 2000. Domain-General Simulation and Planning with Physical Schemas. Proceedings of Winter Simulation Conference, pp. 464-470.
Marc Atkin and Paul Cohen. 2000. Using Simulation and Critical Points to Define States in Continuous Search Spaces. Proceedings of Winter Simulation Conference, pp. 1730-1738.
Heeringa, Brent and Paul Cohen. 2000. An Underlying Model for Defeat Mechanisms. Proceedings of Winter Simulation Conference, p. 933.
Heeringa, Brent and Paul Cohen. 2000. An Underlying Model for Defeat Mechanisms. Presented at AAAI Fall Symposium, 2000 Workshop on Simulating Human Agents.
Ramoni, Marco, Paola Sebastiani and Paul R. CohenBayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Fifth International Workshop on Case Studies in Bayesian Statistics.Lecture Notes in Statistics, Springer, New York, NY, 2000.
St. Amant, Robert. Planning Meets User Interface Design: Affordances, Ibots and PUMs .IUI workshop on Planning for Intelligent User Interfaces, 2000.
Marc Atkin, David L.Westbrook, and Paul R. Cohen. HAC: A Unified View of Reactive and Deliberative Activity. Working Notes of the European Conference on Artificial Intelligence Workshop, Balancing Reactivity and Social Deliberation in Multi-Agent Systems. Also University of Massachusetts Computer Science Department Technical Report 00-50.
Firoiu, Laura. 2000. Rule Induction from Noisy Examples. Presented at AAAI Workshop: Learning Statistical Models from Relational Data.
Ramoni, Marco,
Paola Sebastiani
and Paul R. Cohen.
2000. Multivariate Clustering by
Dynamics.
Proceedings of the Seventeenth National Conference on Artificial
Intelligence, pp. 633-638. AAAI Press/The MIT Press: Menlo
Park/Cambridge.
Ramoni, Marco, Paola Sebastiani and Paul R. Cohen 2000. Bayesian Clustering by Dynamics. Sequence Learning: Paradigms, Algorithms and Applications.Edited by L. Giles and R. Sun. New York: Springer, pp. 11-34.
Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 2000. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge.
Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253.
Cohen, Paul R., Marco Ramoni, and Paola Sebastiani. 2000. Unsupervised Clustering of Robot Activities: A Bayesian Approach. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 134-135. ACM: New York, NY.
Oates, Tim, Zachary Eyler-Walker and Paul R. Cohen. 2000. Toward Natural Language Interfaces for Robotic Agents: Grounding Linguistic Meaning in Sensors.Proceedings of the Fourth International Conference on Autonomous Agents, pp. 227-228. ACM: New York, NY.
Oates, Tim, Matthew Schmill and Paul R. Cohen. 2000. Identifying Qualitatively Different Outcomes of Actions: Gaining Autonomy Through Learning. Proceedings of the Fourth International Conference on Autonomous Agents, pp. 110-111. ACM: New York, NY.
Marc Atkin, Gary King, David L.Westbrook and Paul R. Cohen. 2000. Some Issues in AI Engine Design. Presented at AAAI Spring Symposium on Artificial Intelligence and Interactive Entertainment.
Cohen, Paul R. and Mary Litch. 1999. On Explaining Behavior. Proceedings of the European Conference on Philosophical Psychology.
St. Amant, Robert. Resolving Conflicts in Collaborative Human - Computer Interaction. AAAI Technical Report WS-99-08 (Notes from the Agents' Conflicts workshop.) AAAI Press. 1999.
David A. Pegram, Robert St. Amant, Mark Riedl. An approach to visual interaction in mixed-initiative planning. Paper presented at Mixed-Initiative Intelligence Workshop, AAAI-99
Ramoni, Marco, Paola Sebastiani and Paul R. Cohen. 1999. Bayesian Analysis of Sensory Inputs of a Mobile Robot. Proceedings of the Second European Conference on Highly Structured Stochastic Systems (HSSS-99), Pavia, Italy.
Sebastiani, Paola, Marco Ramoni, Paul R. Cohen, John Warwick and James Davis. 1999. Discovering Dynamics using Bayesian Clustering. Proceedings of the Third Symposium on Intelligent Data Analysis.
Oates, Tim. 1999. Identifying Distinctive Subsequences in Multivariate Time Series by Clustering.Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 322-326.
Provost, Foster, David Jensen and Tim Oates. 1999. Efficient Progressive Sampling. Proceedings of KDD-99, International Conference on Knowledge Discovery and Data Mining, pp. 23-32.
Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36.
Firoiu, Laura and Paul R. Cohen. 1999. Learning Elements of Representations for Redescribing Robot Experiences. Presented at Third Symposium on Intelligent Data Analysis.
Firoiu, Laura and Paul R. Cohen. 1999. Abstracting from Robot Sensor Data using Hidden Markov Models. Proceedings of the Sixteenth International Conference on Machine Learning, pp. 106-114.
Sebastiani, Paolo, Marco Ramoni and Paul R. Cohen. 1999. Unsupervised Classification of Sensory Input in a Mobile Robot. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 23-28.
Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 47-53.
Oates, Tim, Laura Firoiu and Paul R. Cohen. 1999. Clustering Time Series with Hidden Markov Models and Dynamic Time Warping. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 17-21.
Paul R. Cohen and Mary Litch. 1999. What are contentful mental states? Dretske's theory of mental content viewed in the light of robot learning and planning algorithms. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 108-113.
Jensen, David, Michael Atighetchi, Regis Vincent and Victor R. Lesser. 1999. Learning Quantitive Knowledge for Multiagent Coordination. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 24-31.
Oates, Tim and David Jensen. 1999. Toward a Theoretical Understanding of Why and When Decision Tree Pruning Algorithms Fail. Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 372-378.
Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 634-640.
Paul R. Cohen, Vinay Chaudrhi, Adam Pease and Robert Schrag. 1999. Does Prior Knowledge Facilitate the Development of Knowledge-based Systems?Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 221-226.
Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 1999. Efficient Mining of Statistical Dependencies. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp. 794-799.
Marc Atkin, David L. Westbrook and Paul R. Cohen. 1999. Capture the Flag: Military Simulation Meets Computer Games. Presented at AAAI Spring Symposium on AI and Computer Games.
St. Amant, Robert. 1999. Planning and User Interface Affordances. Proceedings of the Fifth International Conference on Intelligent User Interfaces.
Jensen, David, Yulin Dong, Barbara Staudt Lerner, Leon J. Osterweil, Stanley M. Sutton, Jr., and Alexander Wise. 1998. Coordinating Agent Activities In Knowledge Discovery Processes. Proceedings of the International Joint Conference on Work Activities, Coordination and Collaboration.
Jensen, David. 1999. Statistical Challenges to Inductive Inference in Linked Data. Presented at Uncertainty '99: The Seventh International Workshop on Artificial Intelligence and Statistics.
Schmill, Matthew D,Tim Oates and Paul R. Cohen. 1998. Learned Models for Continuous Planning. Presented at Uncertainty '99: The Seventh Internatinal Workshop on Artificial Intelligence and Statistics, pp. 278-282.
Oates, Tim,Paul R. Cohen and Casey Durfee. 1998. Efficient Mining of Statistical Dependencies. Paper presented at Seventh International Workshop on Artificial Intelligence and Statistics, pp.133-141.
Cohen Paul R.,
Robert
Schrag, Eric Jones, Adam Pease, Albert Lin, Barbara Starr, David
Easter, David
Gunning and Murray Burke. 1998. The DARPA High Performance Knowledge
Bases
Project. Artificial Intelligence Magazine, vol. 19, no.
4,
pp.25-49.
St. Amant, Robert and Paul R. Cohen. 1998. Interaction with a Mixed-Initiative System for Exploratory Data Analysis. Knowledge-Based Systems, vol. 10, no. 5, pp. 265-273.
St. Amant, Robert and Paul R. Cohen. 1998. Intelligent Support for Exploratory Data Analysis. Journal of Computational and Graphical Statistics, vol. 7, no. 4, pp. 545-558.
Marc Atkin and Paul R. Cohen. 1998. Physical Planning and Dynamics. Paper presented at AAAI Fall Symposium on Distributed Continual Planning, pp. 4-9.
Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning Regular Languages from Positive Evidence. Proceedings of the Twentieth Annual Meeting of the Cognitive Science Society, pp. 350-355.
Oates, Tim, and David Jensen. 1998. Large Datasets Lead to Overly Complex Models: an Explanation and a Solution. Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 294-298.
Firoiu, Laura, Tim Oates and Paul R. Cohen. 1998. Learning a Deterministic Finite Automaton With a Recurrent Neural Network. ©Springer-Verlag, http://www.springer.de/comp/lncs/ index.html. Proceedings of the Fourth International Colloquium on Grammatical Inference, pp. 90-101.
Cohen, Paul R. 1998. Maps for Verbs. Proceedings of the Information and Technology Systems Conference, Fifteenth IFIP World Computer Congress, pp. 21-33.
Cohen, Paul R. 1998. Dynamic Maps as Representations of Verbs.Proceedings of the 13th Biennial European Conference on Artificial Intelligence, pp. 145-149.
Piater, Justus H., Paul R. Cohen, Xiaoqun Zhang and Michael Atighetchi. 1998. A Randomized ANOVA Procedure for Comparing Performance Curves. Proceedings of the Fifteenth International Conference on Machine Learning, pp. 430-438.
Cohen, Paul R. and Tim Oates. 1998. A Dynamical Basis for the Semantic Content of Verbs. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 5-8.
Rosenstein, Michael T. and Paul R. Cohen. 1998. Symbol Grounding with Delay Coordinates. In Grounding of Word Meaning: Data & Models Workshop, AAAI-98, pp. 20-21.
Utgoff, Paul E. and Paul R. Cohen. 1998. Applicability of Reinforcement Learning. In Methodology of Applying Machine Learning: Problem Definition, Task Decomposition and Technique Selection Workshop, ICML-98, pp. 37-43.
Oates, Tim. David Jensen and Paul R. Cohen. 1998. Discovering Rules for Clustering and Predicting Asynchronous Events. In Predicting the Future: AI Approaches to Time Series Workshop, AAAI-98, pp. 73-79.
Marc Atkin, David L. Westbrook, Paul R. Cohen and Gregory D. Jorstad. 1998. AFS and HAC: Domain-General Agent Simulation and Control. In Workshop on Software Tools for Developing Agents, AAAI-98, pp. 89-95.
Rosenstein, Michael T. 1998. Concepts From Time Series. Abstract. Proceedings of the Fifteenth National Conference on Artificial Intelligence, pp. 739-745.
Schmill, Matthew D., Michael T. Rosenstein, Paul R. Cohen, and Paul Utgoff. 1998. Learning What is Relevant to the Effects of Actions for a Mobile Robot.© Copyright, 1998 ACM, Inc. Proceedings of the Second International Conference on Autonomous Agents, pp. 247-253.
Cohen, Paul R., and David Jensen. 1997. Overfitting Explained. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 115-122.
Cohen, Paul R. 1997. Projections as Concepts. Proceedings of the 2nd European Conference on Cognitive Science, pp. 56-60.
Gregory, Dawn E. and Paul R. Cohen. 1997. Integrating Many Techniques for Discovering Structure in Data. In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 77-88.
Gregory, Dawn E. and Paul R. Cohen. 1997. Intelligent Assistance for Computational Scientists: Integrated Modeling, Experimentation, and Analysis. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 231-238.
Jensen, David. 1997. Prospective Assessment of AI Technologies for Fraud Detection and Risk Management. In AI Approaches to Fraud Detection and Risk Management. Collected Papers from the 1997 Workshop. Technical Report WS-97-07. AAAI Press, pp. 34-38.
Jensen, David, Tim Oates and Paul R. Cohen. 1997. Building Simple Models: A Case Study with Decision Trees. In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 211-222.
Jensen, David. 1997. Adjusting for Multiple Testing in Decision Tree Pruning. Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 295-302.
Jensen, David. 1997. Unique Challenges of Managing Inductive Knowledge. In AAAI 1997 Spring Symposium on Artificial Intelligence in Knowledge Management. pp 75-81. Also in: Artificial Intelligence and Knowledge Management. Collected Papers from the 1997 Workshop. Technical Report WS-97-09. AAAI Press, pp. 25-31.
Jensen, David and Matthew D. Schmill. 1997. Adjusting for Multiple Comparisons in Decision Tree Pruning. Proceedings of the Third International Conference on Knowledge Discovery and Data Mining. AAAI Press, pp. 195-198.
McGeoch, C.C., Doina Precup and Cohen, Paul R.. 1997. How to find Big-Oh in Your Data Set (and How Not To). In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 41-52.
McGeoch, C.C. and Paul R. Cohen. 1997. How to Find Big-Oh in Your Data Set (and How Not To). In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 347-354.
Oates, Tim, Matthew D. Schmill, and Paul R. Cohen. 1997. Parallel and Distributed Search for Structure in Multivariate Time Series. Proceedings of the Ninth European Conference on Machine Learning, pp. 191-198.
Oates, Tim and David Jensen. 1997. The Effects of Training Set Size on Decision Tree Complexity. Proceedings of the Fourteenth International Conference on Machine Learning, pp. 254-261. An earlier version is in Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 379 - 390.
Oates, Tim, Matthew D. Schmill, David Jensen, and Paul R. Cohen. 1997. A Family of Algorithms for Finding Temporal Structure in Data. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 371-378.
Rosenstein, Michael T., Paul R. Cohen, Matthew D. Schmill, and Marc Atkin. 1997. Action Representation, Prediction and Concepts. Paper presented at AAAI Workshop on Robots, Softbots, Immobots: Theories of Action, Planning and Control.
St. Amant, Robert and Paul R. Cohen. 1997. Evaluation of a Semi-Autonomous Assistant for Exploratory Data Analysis. Proceedings of the First International Conference on Autonomous Agents, pp. 355-362.
St. Amant, Robert and Paul R. Cohen. 1997. Interaction with a Mixed Initiative System for Exploratory Data Analysis. Proceedings of the Third International Conference on Intelligent User Interfaces, pp. 15-22.
St. Amant, Robert and Paul R. Cohen. 1997. Building an EDA Assistant: A Progress Report. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 501-512.
Anderson, Scott D. and Paul R. Cohen. 1996. Timed Common LISP: The Duration of Deliberation. In SIGART Bulletin, vol. 7, no. 2, pp. 11-15.
Marc Atkin and Paul R. Cohen. 1996. Monitoring Strategies for Embedded Agents: Experiments and Analysis. Journal of Adaptive Behavior, vol. 4, issue 2. pp 125-172.
Cohen
Paul R. 1996. Getting
What You
Deserve From
Data. IEEE Expert Intelligent Systems & Their Applications,
vol.11, no. 5, pp. 12-14.
Anderson, Scott D.
and Paul R. Cohen.
1996. On-line Planning Simulation.
Proceedings of
the Third International Conference on Artificial Intelligence Planning
Systems,
pp. 3-10.
Cohen, Paul R. , Tim Oates , and Marc Atkin. 1996. Preliminary Evidence That Conceptual Structure Can Be Learned by Interacting with an Environment. In AAAI Fall Symposium on Embodied Cognition and Action.Technical Report FS-96-02, pp. 18-23.
Cohen, Paul R., Tim Oates, Marc Atkin, and Beal, Carole R. 1996. Building a Baby. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, pp. 518-522.
Gregory, Dawn E., Lixin Gao, Arnold L. Rosenberg, and Paul R. Cohen. 1996. An Empirical Study of Dynamic Scheduling on Rings of Processors. Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Processing, pp. 470-473.
Oates, Tim, and Paul R. Cohen. 1996. Searching for Planning Operators with Context-Dependent and Probabilistic Effects. Proceedings of the Thirteenth National Conference on Artificial Intelligence. AAAI Press, pp. 863-868.
Oates, Tim, and Paul R. Cohen. 1996. Searching for Structure in Multiple Streams of Data. Proceedings of the Thirteenth International Conference on Machine Learning, pp. 346-354.
Oates, Tim ,
and Paul R. Cohen.
1996. Learning Planning Operators with
Conditional and
Probabilistic Effects. In AAAI-96 Spring Symposium on Planning
with
Incomplete Information for Robot Problems, pp. 86-94.
Oates, Tim,
Matthew D. Schmill,
Dawn E. Gregory
and Paul R. Cohen.
1996.
Detecting
Complex Dependencies in
Categorical
Data. Learning from Data: Artificial Intelligence and
Statistics.D.
Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 185-195.
St. Amant, Robert and Paul R. Cohen. 1996. Control Representation in an EDA Assistant. Learning from Data: Artificial Intelligence and Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp. 353-362. Technical Report 95-68, Dept. of Computer Science, University of Massachusetts/Amherst.
St.
Amant,
Robert, and Paul
R.
Cohen. 1996. A Planner for
Exploratory Data
Analysis. Proceedings of the Third International Conference on
Artificial
Intelligence Planning Systems. AAAI Press, pp. 205-212.
Cohen, Paul R., Scott D. Anderson , and David L. Westbrook. 1996. Simulation for ARPI and the Air Campaign Simulator. In Advanced Planning Technology: Technological Achievements of the ARPA/Rome Laboratory Planning Initiative. A. Tate (Ed.). AAAI Press, pp. 113-118.
Cohen, Paul R.,
Tim Oates,
and Robert
St.
Amant. 1996. Plan
Steering and
Mixed-Initiative Planning. In Advanced Planning Technology:
Technological
Achievements of the ARPA/Rome Laboratory Planning Initiative. A.
Tate (Ed.).
AAAI Press, pp. 105-112.
Howe, Adele E.
and Paul R. Cohen.
1995. Understanding
Planner Behavior. Artificial Intelligence, Special Issue on
Planning
Systems, vol. 76, nos. 1 & 2, pp. 125-166.
Anderson, Scott D., David M. Hart, David L. Westbrook and Paul R. Cohen. 1995. A Toolbox for Analyzing Programs. International Journal of Artificial Intelligence Tools, vol. 4, nos. 1 & 2, pp. 257-279.
Anderson, Scott D. and Paul R. Cohen. 1995. The Duration of Deliberation.Proceedings of the Workshop on Anytime Algorithms and Deliberation Scheduling, IJCAI-95, pp. 33-37. Technical Report 95-58, Dept. of Computer Science, University of Massachusetts/Amherst.
Anderson, Scott D. and Paul R. Cohen. 1995. Segregating Planners and Their Environments. In Symposium on Integrated Planning Applications, AAAI-95 Spring Symposium Series. Technical Report 95-57, Dept. of Computer Science, University of Massachusetts/Amherst.
Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen. 1995. Tools for Empirically Analyzing AI Programs. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale, FL, pp. 35-41. Technical Report 94-78, Dept. of Computer Science, University of Massachusetts.
Cohen, Paul R., Dawn E. Gregory, Lisa A. Ballesteros and Robert St. Amant. 1995. Two Algorithms for Inducing Structural Equation Models from Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 129-139. Also Technical Report 94-80, Dept. of Computer Science, University of Massachusetts/Amherst.
Cohen, Paul R. and Tim Oates. 1995. Finding Structure in Streams. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 27-31. Also Technical Report 95-63, Dept. of Computer Science, University of Massachusetts/Amherst.
Cohen, Paul R., Marc Atkin, Tim Oates and Dawn E. Gregory. 1995. A Representation and Learning Mechanisms for Mental States. In Symposium on Representing Mental States and Mechanisms,AAAI-95 Spring Symposium Series, pp. 15-21. Technical Report 95-53, Dept. of Computer Science, University of Massachusetts/Amherst. 1995.
Gregory, Dawn E. and Paul R. Cohen. 1995. A Function Modeling Approach to Empirical Science, (Abstract). In Book of Abstracts of the 10th International Conference on Mathematical and Computer Modeling and Scientific computing, Boston, July, 1995. St Louis: Principia Scientia, p. 42.
Oates, Tim, Dawn E. Gregory, and Paul R. Cohen. 1995. Detecting Complex Dependencies in Categorical Data. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 417-423. Also Technical Report 94-81, Dept. of Computer Science, University of Massachusetts/Amherst.
Oates, Tim, M. V. Nagendra Prasad, Victor R. Lesser and Keith Decker. 1995. A Distributed Problem Solving Approach to Cooperative Information Gathering.Proceedings of the AAAI Spring Symposium on Information Gathering from Heterogeneous, Distributed Environments.
Schmill, Matthew D., Tim Oates and Paul R. Cohen. 1995. Tools for Detecting Dependencies in AI Systems. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, pp. 148-155.
Srinivasan, Raghavan and Adele E. Howe. 1995. Comparison of Methods for Improving Search Efficiency in a Partial-Order Planner. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, pp. 1620-1626.
St. Amant, Robert and Paul R. Cohen. 1995. A Case Study of Planning for Exploratory Data Analysis. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 1-5. Technical Report 95-56, Dept. of Computer Science, University of Massachusetts/Amherst.
St. Amant, Robert and Paul R. Cohen. 1995. Preliminary System Design for an EDA Assistant. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 502-511. Technical Report 94-79, Dept. of Computer Science, University of Massachusetts/Amherst.
St. Amant, Robert and Paul R. Cohen. 1995. Issues in Automating Exploratory Data Analysis In AAAI-96 Spring Symposium on Systematic Methods of Scientific Discovery. Stanford University, March 1995, pp. 81-86. Technical Report 95-55, Dept. of Computer Science, University of Massachusetts/Amherst.
St. Amant, Robert, Yoshitaka Kuwata and Paul R. Cohen. 1995. Monitoring Progress with Dynamic Programming Envelopes. Proceedings of the Seventh International IEEE Conference on Tools with Artificial Intelligence, IEEE Computer Society Press, pp. 426-433.
Anderson, Scott D., Adam Carlson, David L. Westbrook, David M. Hart, and Paul R. Cohen . 1994. Tools for Experiments in Planning. Proceedings of the 6th International IEEE Conference on Tools with Artificial Intelligence, pp. 615-623. Also in Workshop Proceedings of the ARPA/Rome Laboratory Knowledge-Based Planning and Scheduling Initiative, Tucson Arizona. Morgan Kaufmann, pp. 423-432. Technical Report 95-01, Dept. of Computer Science, University of Massachusetts/Amherst.
Marc Atkin
and Paul
R. Cohen. 1994. Learning Monitoring
Strategies: A Difficult Genetic
Programming Application. Proceedings of ICEC '94, World
Congress on
Computational Intelligence. Technical Report 94-52, Dept. of
Computer
Science, University of Massachusetts/Amherst.
Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings of the ARPA/Rome Laboratory Knowledge-Based Planning and Scheduling Initiative, Tucson Arizona. Morgan Kaufmann, pp. 15-25.
Cohen, Paul R.,
Tom
Dean, Yolanda Gil, Matt Ginsberg and Lou Hoebel. 1994. Handbook of
Evaluation
for the ARPA/Rome Laboratory Planning Initiative. Proceedings of
the
ARPA/Rome Laboratory Planning Initiative Workshop, M.H. Burstein,
Ed. Morgan
Kaufmann, pp. 519-536. This document is available in two parts - the
main text and an
appendix of evaluation
criteria. An
html version is also available, courtesy of the ARPA/Rome Laboratory
Planning
Initiative and ISX Corporation.
Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Morgan Kaufmann, pp. 445-452.
Lisa Ballesteros. 1994. Regression-Based Causal Induction with Latent Variable Models. Proceedings, Twelfth National Conference on Artificial Intelligence, 1994. AAAI Press/The MIT Press, p. 1426. Extended Abstract.
Cohen, Paul R., Marc Atkin, and Eric A. Hansen. 1994. The Interval Reduction Strategy for Monitoring Cupcake Problems. Proceedings, From Animals to Animats, the Third International Conference on Simulation of Adaptive Behavior (1994). Technical Report 94-09, Dept. of Computer Science, University of Massachusetts/Amherst.
Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. In Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Technical Report 94-33, Dept. of Computer Science, University of Massachusetts/Amherst.
Gregory, Dawn E. and Paul R. Cohen. 1994. Two Algorithms for Inducing Causal Models from Data. In Knowledge Discovery in Databases Workshop, Twelfth National Conference on Artificial Intelligence, pp. 73-84. Technical Report 94-42 . Department of Computer Science, University of Massachusetts/Amherst.
Hansen, Eric A. 1994. Cost-Effective Sensing During Plan Execution. Proceedings of the Twelfth National Conference on Artificial Intelligence. AAAI Press/The MIT Press, pp. 1029-1035.
Howe, Adele E., Robert St. Amant, and Paul R. Cohen. 1994. Integrating Statistical Methods for Characterizing Causal Influences on Planner Behavior Over Time. Proceedings of the Sixth IEEE International Conference on Tools with AI, Computer Science Technical Report CS-94-115, Colorado State University.
Kuwata, Yoshitaka, David M. Hart, and Paul R. Cohen. 1994. Steering Traffic Networks. AI in Intelligent Vehicle Highway Systems Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 51-56. Technical Report 94-43, Dept. of Computer Science, University of Massachusetts/Amherst.
Oates, Tim, M.V. Nagendra Prasad and Victor R. Lesser. 1994. Networked Information Retrieval as Distributed Problem Solving.Proceedings of the CIKM Workshop on Intelligent Information Agents.
Oates, Tim,
and Paul R. Cohen.
1994. Evaluation of a
Mixed-Initiative Approach to
Schedule Maintenance. Proceedings of the Workshop on AI
Approaches to
Modeling and Scheduling Manufacturing Processes,IEEE Conference on
Tools
with Artificial Intelligence. Also Technical Report 95-08. Department
of
Computer Science, University of Massachusetts/Amherst.
Oates, Tim, and Paul R. Cohen. 1994. Mixed-Initiative Schedule Maintenance: A First Step Toward Plan Steering. Proceedings of the ARPA/Rome Lab Planning Initiative Workshop, Tucson, AZ. Also Technical Report 94-31, Dept. of Computer Science, University of Massachusetts/Amherst.
Oates, Tim and Paul R. Cohen. 1994. Toward a Plan Steering Agent: Experiments with Schedule Maintenance. Proceedings of the Second International Conference on AI Planning Systems, pp. 134-139. Technical Report 94-02, Dept. of Computer Science, University of Massachusetts/Amherst.
St. Amant, Robert, andPaul R. Cohen. 1994. Toward the Integration of Exploration and Modeling in a Planning Framework. In Knowledge Discovery in Databases Workshop,Twelfth National Conference on Artificial Intelligence, pp. 49-60. Technical Report 94-41, Dept. of Computer Science, University of Massachusetts.
St. Amant, Robert and Paul R. Cohen. 1994. A Planning Representation for Automated Exploratory Data Analysis. In SPIE Proceedings, vol. 2244, Knowledge-Based Artificial Intelligence Systems in Aerospace and Industry, pp. 44-52. Technical Report 94-18, Dept. of Computer Science, University of Massachusetts.
St.
Amant,
Robert and Paul
R.
Cohen. 1994. Automated Analysis of Complex Data. Proceedings of
the Ninth
Annual Goddard Conference on Space Applications of Artificial
Intelligence,
pp. 161-172. Technical Report 94-25,
Dept. of
Computer Science, University of Massachusetts.
Cohen, Paul R., David M. Hart, Robert St. Amant, Lisa A. Ballesteros, and Adam Carlson. 1994. Path Analysis Models of an Autonomous Agent in a Complex Environment. Selecting Models from Data: AI and Statistics IV.Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, 1994, pp. 243-251. Technical Report 94-33, Dept. of Computer Science, University of Massachusetts, 1994.
Howe, Adele E. and Paul R. Cohen. 1994. Detecting and Explaining Dependencies in Execution Traces. Selecting Models from Data: AI and Statistics IV,Peter Cheeseman and R. W. Oldford, Eds. Springer-Verlag, pp. 71-77.
Hanks,
Steven, Martha E. Pollack and Paul R. Cohen.
1993.
Benchmarks, Testbeds, Controlled Experimentation, and the Design of
Agent
Architectures. AI Magazine,14(4): 17-42. Winter issue.
Marc Atkin and Paul R. Cohen. 1993. Genetic Programming to Learn an Agent's Monitoring Strategy. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence (1993), pp. 36-41. Technical Report 93-26, Dept. of Computer Science, University of Massachusetts.
Cohen, Paul R., Adam Carlson, and Lisa Ballesteros. 1993. Automating Path Analysis for Building Causal Models from Data. Proceedings of the Tenth International Conference on Machine Learning. 1993, pp. 57-64. Technical Report 93-38, Dept. of Computer Science, University of Massachusetts, 1993.
Hansen, Eric A. and Paul R. Cohen. 1993. Learning Monitoring Strategies to Compensate for Model Uncertainty. The Learning Action Models Workshop, Eleventh National Conference on Artificial Intelligence, pp. 33-35.
Cohen, P.R., Robert St. Amant. & David M. Hart, 1992. Early warnings of plan failure, false positives and envelopes: Experiments and a model. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society.Lawrence Erlbaum Associates, Inc, pp. 773-778. Technical Report 92-20, Dept. of Computer Science, University of Massachusetts.
Hart, D.M. & Paul R. Cohen, 1992. Predicting and explaining success and task duration in the Phoenix planner. Proceedings of the First International Conference on AI Planning Systems. Morgan Kaufmann, pp. 106-115. Technical Report 92-19, Dept. of Computer Science, University of Massachusetts.
Howe, A.E. 1992. Analyzing failure recovery to improve planner design. Proceedings of the Tenth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 387-392. Technical Report 92-42, Dept. of Computer Science, University of Massachusetts.
Kuwata, Y., Hart, D.M. & Cohen, P.R. 1992. Steering the execution of a large-scale planning and scheduling system. AAAI-92 SIGMAN Workshop on Knowledge-Based Production Planning, Scheduling & Control, pp. 62-72.
Cohen, Paul R. 1991. A Survey of the Eighth National Conference on Artificial Intelligence: Pulling together or pulling apart?AI Magazine, 12(1), 16-41. Technical Report 91-68, Dept. of Computer Science, University of Massachusetts.
Howe, A.E. & Paul R. Cohen. 1991. Failure recovery: A model and experiments. Proceedings of the Ninth National Conference on Artificial Intelligence. AAAI Press/MIT Press, pp. 801-808.
Cohen, P.R. 1990. Designing and Analyzing Strategies for Phoenix from Models. Proceedings of the Workshop on Innovative Approaches to Planning, Scheduling, and Control, Katia Sycara (Ed.). Morgan-Kaufman, pp. 9-21.
Hart, D.M.,
Scott
D. Anderson, & Paul R. Cohen
1990.
Envelopes as a vehicle for improving the efficiency of plan execution.
Proceedings of the Workshop on Innovative Approaches to Planning,
Scheduling,
and Control, Katia Sycara (Ed.), Morgan-Kaufmann, pp. 71-76. Technical Report 90-21, Dept. of Computer
Science,
University of Massachusetts.
Cohen, Paul R.,
Michael L.
Greenberg, David
M.
Hart, & Adele
E.
Howe, 1989. Trial by fire: Understanding the design requirements
for agents
in complex environments. AI Magazine.10(3): 32-48.
Automated Data AnalysisSt. Amant, Robert and Paul R. Cohen. 1998. Interaction with a Mixed-Initiative System for Exploratory Data Analysis. Knowledge-Based Systems, vol. 10, no. 5, pp. 265-273. St. Amant, Robert and Paul R. Cohen. 1998. Intelligent Support for Exploratory Data Analysis. Journal of Computational and Graphical Statistics, vol. 7, no. 4, pp. 545-558. Gregory, Dawn E. and Paul R. Cohen. 1997. Intelligent Assistance for Computational Scientists: Integrated Modeling, Experimentation, and Analysis. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 231-238.McGeoch, C.C., Doina Precup and Cohen, Paul R.. 1997. How to find Big-Oh in Your Data Set (and How Not To). In Advances in Intelligent Data Analysis: Reasoning about Data. Proceedings of the Second International Symposium, IDA-97, pp. 41-52. St. Amant, Robert and Paul R. Cohen. 1997. Evaluation of a Semi-Autonomous Assistant for Exploratory Data Analysis. Proceedings of the First International Conference on Autonomous Agents, pp. 355-362. St. Amant, Robert and Paul R. Cohen. 1997. Interaction with a Mixed Initiative System for Exploratory Data Analysis. Proceedings of the Third International Conference on Intelligent User Interfaces, pp. 15-22. St. Amant, Robert and Paul R. Cohen. 1997. Building an EDA Assistant: A Progress Report. In Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics, pp. 501-512. St.
Amant,
Robert and Paul
R.
Cohen. 1996. Control
Representation
in an EDA Assistant. Learning from Data: Artificial
Intelligence and
Statistics.D. Fisher and H. Lenz (Eds.). Springer-Verlag, pp.
353-362.
Technical Report 95-68, Dept. of Computer Science, University of
Massachusetts/Amherst. Gregory, Dawn E. and Paul R. Cohen. 1995. A Function Modeling Approach to Empirical Science, (Abstract). In Book of Abstracts of the 10th International Conference on Mathematical and Computer Modeling and Scientific computing, Boston, July, 1995. St Louis: Principia Scientia, p. 42. St. Amant, Robert and Paul R. Cohen. 1995. A Case Study of Planning for Exploratory Data Analysis. In Advances in Intelligent Data Analysis. Proceedings of the IDA-95 Symposium of the International Institute for Advanced Studies in Systems Research, Informatics and Cybernetics, vol. 1, pp. 1-5. Technical Report 95-56, Dept. of Computer Science, University of Massachusetts/Amherst. St. Amant, Robert and Paul R. Cohen. 1995. Preliminary System Design for an EDA Assistant. In Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp. 502-511. Technical Report 94-79, Dept. of Computer Science, University of Massachusetts/Amherst. St.
Amant,
Robert and Paul
R.
Cohen. 1995. Issues in Automating Exploratory Data Analysis In AAAI-96
Spring Symposium on Systematic Methods of Scientific Discovery.
Stanford
University, March 1995, pp. 81-86. Technical
Report 95-55, Dept.
of Computer
Science, University of Massachusetts/Amherst. St. Amant, Robert and Paul R. Cohen. 1994. Automated Analysis of Complex Data. Proceedings of the Ninth Annual Goddard Conference on Space Applications of Artificial Intelligence, pp. 161-172. Technical Report 94-25, Dept. of Computer Science, University of Massachusetts. |
Cognitive Developmental RoboticsDaniel Hewlett, Shane Hoversten, Wesley Kerr, Paul Cohen, Yu-Han Chang. Wubble World. To appear in the proceedings of The Third Artificial Intelligence for Interactive Digital Entertainment Conference. June 2007, Stanford University.Paul Cohen, Yu-Han Chang, Clayton Morrison. Learning and Transferring Action Schemas. To appear in the Proceedings of the Twentieth International Conference on Artificial Intelligence. Robert St. Amant, Clayton T.
Morrison,
Yu-Han Chang, Paul R. Cohen,
and Carole Beal. An
Image Schema Language. The
International Conference on Cognitive Modeling. 2006.
Trieste. Clayton Morrison and Yu-Han
Chang and Paul Cohen and Joshua
Moody. Experimental
State Splitting for Transfer Learning.
ICML 2006 Workshop on Structural Knowledge
Transfer for Machine Learning. 2006. Yu-Han Chang, Paul R. Cohen, Clayton Morrison, Robert St. Amant. Piagetian Adaptation Meets Image Schemas: The Jean System. Proceedings of the Ninth Annual Conference on the Simulation of Adaptive Behavior. Rome. 2006. Also published in From Animals to Animats 9, Springer Lecture Notes in Computer Science, Vol 4095. Cohen, Paul R., Tim Oates,Carole R. Beal, Niall Adams. 2002. Contentful Mental States for Robot Baby. To be presented at The Eighteenth National Conference on Artificial Intelligence. Cohen, Paul R.,Charles Sutton, Brendan Burns. 2002. Learning effects of Robot Actions using Temporal Associations.The 2nd International Conference on Development and Learning (ICDL'02). Morrison, Clayton T., Paul R. Cohen, Paola Sebastiani. 2002. On the Development of Visual Object Memory: The Stay/Go Decision Problem.The 2nd International Conference on Development and Learning (ICDL'02). Brendan Burns and Paul Cohen 2002 A Probabilistic Approach to Real Time Construction of MemoriesProceedings of the Seventh International Autonomous Systems Conference, Marina del Rey. Schmill, Matthew. 2002. A Motivational System that Drives the Development of Activity. First Joint Conference of Autonomous Agents and Multiagent Systems.Cohen, Paul R, Tim Oates, Niall Adams and Carole Beal. 2001. Robot Baby 2001. Invited talk at the Twelfth International Conference on Algorithmic Learning Theory. King, Gary W. and Tim Oates. 2001. The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction. Proceedings of the Fourteenth Canadian Conference on Artificial Intelligence. Morrison, Clayton T., Tim Oates and Gary W. King. 2001. Grounding the Unobservable in the Observable: The Role and Representation of Hidden State in Concept Formation and Refinement. Working Notes of AAAI Spring Symposium Workshop: Learning Grounded Representations. Kaelbling,
Leslie Pack, Tim Oates,
Natalia Hernandez and Sarah Finney. 2001. Learning
in Worlds with Objects. WorkingNotes
of AAAI
Spring
Symposium Workshop: Learning Grounded Representations. Ramoni,
Marco, Paola
Sebastiani
and Paul R. CohenBayesian
Analysis of Sensory Inputs of
a Mobile
Robot. Proceedings of the Fifth International Workshop on Case
Studies in
Bayesian Statistics.Lecture Notes in Statistics, Springer, New
York, NY,
2000. Oates, Tim, Matthew D. Schmill and Paul R. Cohen. 2000. A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgements. Proceedings of the Seventeenth National Conference on Artificial Intelligence, pp. 846-851. AAAI Press/The MIT Press: Menlo Park/Cambridge. Schmill, Matthew D,Tim Oates and Paul R. Cohen. 2000. Learning Planning Operators in Real-World, Partially Observable Environments.Proceedings of the Fifth International Conference on Artificial Intelligence Planning and Scheduling, AI Planning Systems, AAAI Press, pp. 246-253. Cohen,
Paul R., Marco Ramoni,
and Paola Sebastiani.
2000. Unsupervised
Clustering of
Robot Activities: A
Bayesian Approach. Proceedings of the Fourth International
Conference on
Autonomous Agents, pp. 134-135. ACM: New York, NY. Oates,
Tim,
Zachary
Eyler-Walker and Paul
R.
Cohen. 2000. Toward
Natural
Language
Interfaces for Robotic Agents: Grounding Linguistic Meaning in
Sensors.Proceedings of the Fourth International Conference on
Autonomous
Agents, pp. 227-228. ACM: New York, NY Oates,
Tim, Matthew Schmill
and Paul R. Cohen.
2000. Identifying
Qualitatively
Different Outcomes
of Actions: Gaining Autonomy Through Learning. Proceedings of
the Fourth
International Conference on Autonomous Agents, pp. 110-111. ACM:
New York,
NY. Cohen,
Paul R.
and Mary
Litch.
1999. On
Explaining Behavior. Proceedings of the European Conference on
Philosophical
Psychology. Oates, Tim. 1999. Identifying Qualitatively Different Outcomes of Actions: Experiments with a Mobile Robot. Paper presented at IJCAI-99, Workshop on Robot Action Planning, pp. 30-36. Firoiu, Laura and Paul R. Cohen. 1999. Learning Elements of Representations for Redescribing Robot Experiences. Presented at Third Symposium on Intelligent Data Analysis. Firoiu, Laura and Paul R. Cohen. 1999. Abstracting from Robot Sensor Data using Hidden Markov Models. Proceedings of the Sixteenth International Conference on Machine Learning, pp. 106-114. Sebastiani, Paolo, Marco Ramoni and Paul R. Cohen. 1999. Unsupervised Classification of Sensory Input in a Mobile Robot. Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 23-28. Rosenstein, Michael T. and Paul R. Cohen. 1999. Continuous Categories for a Mobile Robot . Paper presented at IJCAI-99 Workshop on Sequence Learning, pp. 47-53. |
