Thomas Dean

Tom Dean is a full-time research scientist at Google in Mountain View, California. From 1993 to 2007 he was Professor of Computer Science and Cognitive and Linguistic Sciences at Brown University. He still considers Brown his academic home and remains associated with the university through his Adjunct Professor position in Computer Science. He received his B.A. in mathematics from Virginia Polytechnic Institute & State University in 1982 and his M.Sc. and Ph.D. in computer science from Yale University in 1984 and 1986 respectively. His research interests include automated planning and control, computational biology, machine learning, neural modeling, probabilistic inference, robotics and spatial and temporal reasoning.

Dean was named a fellow of AAAI in 1994 and an ACM fellow in 2009. He served as the Deputy Provost of Brown University from 2003 to 2005, as the chair of Brown's Computer Science Department from 1997 until 2002, and as the Acting Vice President for Computing and Information Services from 2001 until 2002. He was a founding member of the Academic Alliance of the National Center for Women and Information Technology and a former member of the IJCAI Inc. Board of Trustees. He has served on the Executive Council of AAAI and the Computing Research Association Board of Directors. He was a recipient of an NSF Presidential Young Investigator Award in 1989. He served as program co-chair for the 1991 National Conference on Artificial Intelligence and the program chair for the 1999 International Joint Conference on Artificial Intelligence held in Stockholm.

Dean is co-author with Mike Wellman of the Morgan-Kaufmann text entitled Planning and Control which ties together techniques from artificial intelligence, operations research, control theory, and the decision sciences. He is co-author with James Allen and John Aloimonos of Artificial Intelligence: Theory and Practice, an introductory text in Artificial Intelligence. His latest book Talking With Computers is published by Cambridge University Press and examines a wide range of topics from digital logic and machine language to artificial intelligence and searching the web.

Google Publications

Previous Publications

  •  

    A Computational Model of the Cerebral Cortex

    Thomas Dean

    AAAI (2005), pp. 938-943

  •   

    Talking With Computers

    Thomas Dean

    Cambridge University Press, New York (2005)

  •  

    Equivalence Notions and Model Minimization in Markov Decision Processes

    Robert Givan, Thomas Dean, Matthew Greig

    Artificial Intelligence, vol. 147 (2003), pp. 163-223

  •  

    Exploiting Locality in Searching the Web

    Joel Young, Thomas Dean

    Proceedings of the 19th Annual Conference on Uncertainty in Artificial Intelligence (UAI-03), Morgan Kaufmann Publishers, San Francisco, California (2003), pp. 608-615

  •  

    Exploiting Locality in Searching the Web

    Joel Young, Thomas Dean

    UAI (2003), pp. 608-615

  •  

    Solving Factored Markov Decision Processes Using Non-homogeneous Partitions

    Kee-Eung Kim, Thomas Dean

    Artificial Intelligence, vol. 147 (2003), pp. 225-251

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    Solving factored MDPs using non-homogeneous partitions

    Kee-Eung Kim, Thomas Dean

    Artif. Intell., vol. 147 (2003), pp. 225-251

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    Solving Factored MDPs with Large Action Spaces Using Algebraic Decision Diagrams

    Kee-Eung Kim, Thomas Dean

    Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence (PRICAI-02), Springer (2002), pp. 80-89

  •  

    Solving Factored MDPs using Non-Homogeneous Partitions

    Kee-Eung Kim, Thomas Dean

    Proceedings IJCAI-01, Morgan Kaufmann Publishers, San Francisco, California (2001), pp. 683-689

  •  

    Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers

    Kee-Eung Kim, Nicolas Meuleau, Thomas Dean

    Proceedings of the 5th International Conference on Artificial Intelligence Planning Systems (ICAPS-2000, AAAI Press, Menlo Park, California, pp. 323-330

  •  

    Bounded Parameter Markov Decision Processes

    Robert Givan, Sonia Leach, Thomas Dean

    Artificial Intelligence, vol. 122 (2000), pp. 71-109

  •  

    Decision Theoretic Planning: Structural Assumptions and Computational Leverage

    Craig Boutilier, Thomas Dean, Steve Hanks

    Journal of Artificial Intelligence Research, vol. 11 (1999), pp. 1-94

  •  

    Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99, Stockholm, Sweden

    Thomas Dean

    Morgan Kaufmann Publishers, San Francisco, California (1999)

  •  

    A Conditional Scheduling Approach to Designing Real-Time Systems

    Lloyd Greenwald, Thomas Dean

    AIPS (1998), pp. 224-231

  •  

    A conditional scheduling approach to designing real-time systems

    Lloyd Greenwald, Thomas Dean

    Proceedings of the 4th International Conference on Artificial Intelligence Planning Systems (ICAPS-98) (1998), pp. 224-231

  •   

    Hierarchical Solution of Markov Decision Processes using Macro-actions

    Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier

    UAI (1998), pp. 220-229

  •  

    Hierarchical solution of Markov decision processes using macro-actions

    Milos Hauskrecht, Nicolas Meuleau, Craig Boutilier, Leslie Pack Kaelbling, Thomas Dean

    Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence (UAI-98), Morgan Kaufmann Publishers, San Francisco, California (1998), pp. 220-229

  •  

    Solving Planning Problems with Large State and Action Spaces

    Thomas Dean, Robert Givan, Kee-Eung Kim

    Proceedings of the 4th International Conference on Artificial Intelligence Planning Systems (ICAPS-98) (1998), pp. 102-110

  •  

    Solving Stochastic Planning Problems with Large State and Action Spaces

    Thomas Dean, Robert Givan, Kee-Eung Kim

    AIPS (1998), pp. 102-110

  •  

    Solving Very Large Weakly Coupled Markov Decision Processes

    Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier

    AAAI/IAAI (1998), pp. 165-172

  •  

    Solving very large weakly coupled Markov decision processes

    Nicolas Meuleau, Craig Boutilier, Milos Hauskrecht, Leslie Kaelbling, Kee-Eung Kim, Leonid Peshkin, Thomas Dean

    Proceedings AAAI-98, MIT Press, Cambridge, Massachusetts (1998), pp. 165-172

  •  

    A Retrospective of the AAAI Robot Competitions

    R. Peter Bonasso, Thomas Dean

    AI Magazine, vol. 18 (1997), pp. 11-23

  •  

    Bounded Parameter Markov Decision Processes

    Robert Givan, Sonia M. Leach, Thomas Dean

    ECP (1997), pp. 234-246

  •  

    Coping with Uncertainty in Map Learning

    Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter

    Machine Learning, vol. 29 (1997), pp. 65-88

  •  

    Model Minimization in Markov Decision Processes

    Thomas Dean, Robert Givan

    AAAI/IAAI (1997), pp. 106-111

  •  

    Model Minimization, Regression, and Propositional STRIPS Planning

    Robert Givan, Thomas Dean

    IJCAI (1997), pp. 1163-1168

  •   

    Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes

    Thomas Dean, Robert Givan, Sonia M. Leach

    UAI (1997), pp. 124-131

  •  

    Planning and Scheduling

    Thomas Dean, Subbarao Kambhampati

    The Computer Science and Engineering Handbook (1997), pp. 614-636

  •  

    Strategic Directions in Artificial Intelligence (Reprint)

    Jon Doyle, Thomas Dean

    AI Magazine, vol. 18 (1997), pp. 87-101

  •   

    A Framework for the Development of Multiagent Architectures

    Moises Lejter, Thomas Dean

    IEEE Expert, vol. 11 (1996), pp. 47-59

  •  

    Automated Planning

    Thomas Dean

    ACM Comput. Surv., vol. 28 (1996), pp. 85-87

  •  

    Challenge Problems for Artificial Intelligence (Panel Statements)

    Bart Selman, Rodney A. Brooks, Thomas Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson

    AAAI/IAAI, Vol. 2 (1996), pp. 1340-1345

  •  

    Challenge Problems for Artificial Intelligence (Panel Statements)

    Bart Selman, Rodney A. Brooks, Thomas Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson

    Proceedings of AAAI-96, MIT Press, Cambridge, Massachusetts (1996), pp. 1340-1345

  •  

    Context-Dependent Computational Components

    Thomas Dean

    SIGART Bulletin, vol. 7 (1996), pp. 3-6

  •  

    Integrating Theory and Practice in Planning

    Thomas Dean

    ACM Comput. Surv., vol. 28 (1996), pp. 2

  •  

    Localized Temporal Reasoning Using Subgoals and Abstract Events

    Shieu-Hong Lin, Thomas Dean

    Computational Intelligence, vol. 12 (1996), pp. 423-449

  •  

    Package Routing in Transportation Networks with Fixed Vehicle Schedules: Formulation, Complexity Results and Approximation Algorithms

    Lloyd Greenwald, Thomas Dean

    Networks, vol. 27 (1996), pp. 81-93

  •   

    Package routing in transportation networks with fixed vehicle schedules

    Lloyd Greenwald, Thomas Dean

    Networks, vol. 27 (1996), pp. 81-93

  •  

    Robots With AI: A Retrospective on the AAAI Robot Competitions and Exhibitions

    R. Peter Bonasso, Thomas Dean

    AAAI/IAAI, Vol. 2 (1996), pp. 1321

  •  

    Anticipating Computational Demands when Solving Time-Critical Decision-Making Problems

    Lloyd Greenwald, Thomas Dean

    The Algorithmic Foundations of Robotics, A. K. Peters, Boston, Massachusetts (1995)

  •  

    Artificial Intelligence: Theory and Practice

    Thomas Dean, James Allen, Yiannis Aloimonos

    Addison-Wesley Publishing Company, Reading, Massachusetts (1995)

  •  

    Decomposition Techniques for Planning in Stochastic Domains

    Thomas Dean, Shieu-Hong Lin

    Proceedings IJCAI-95, Morgan Kaufmann Publishers, San Francisco, California (1995), pp. 1121-1127

  •  

    Generating Optimal Policies for High-Level Plans with Conditional Branches and Loops

    Shieu-Hong Lin, Thomas Dean

    Proceedings of the 3rd European Workshop on Planning (1995), pp. 205-218

  •  

    Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning

    Thomas Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron

    Machine Learning, vol. 18 (1995), pp. 81-108

  •  

    Learning Dynamics: System Identification for Perceptually Challenged Agents

    Kenneth Basye, Thomas Dean, Leslie Kaelbling

    Artificial Intelligence, vol. 72 (1995), pp. 139-171

  •  

    On the Complexity of Solving Markov Decision Problems

    Michael Littman, Thomas Dean, Leslie Kaelbling

    Proceedings of the 11th Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers, San Francisco, California (1995), pp. 394-402

  •  

    Planning Under Time Constraints in Stochastic Domains

    Thomas Dean, Leslie Kaelbling, Jak Kirman, Ann Nicholson

    Artificial Intelligence, vol. 76 (1995), pp. 35-74

  •  

    Planning Under Uncertainty: Structural Assumptions and Computational Leverage

    Craig Boutilier, Thomas Dean, Steve Hanks

    Proceedings of the 3rd European Workshop on Planning (1995)

  •   

    Review: AI Scheduling Methods

    Thomas Dean

    IEEE Expert, vol. 10 (1995), pp. 76-77

  •  

    Decision-Theoretic Deliberation Scheduling for Problem Solving in Time-Constrained Environments

    Mark Boddy, Thomas Dean

    Artificial Intelligence, vol. 67 (1994), pp. 245-286

  •  

    Deliberation Scheduling for Problem Solving in Time-Constrained Environments

    Mark S. Boddy, Thomas Dean

    Artif. Intell., vol. 67 (1994), pp. 245-285

  •  

    Exploiting Locality in Temporal Reasoning

    Shieu-Hong Lin, Thomas Dean

    Current Trends in AI Planning, {IOS} Press, Amsterdam (1994)

  •   

    Localized Temporal Reasoning: A State-Based Approach

    Shieu-Hong Lin, Thomas Dean

    TIME (1994), pp. 3-12

  •  

    Meditations on Time and Space: Expediting Temporal Reasoning by Exploiting Time and Space (Abstract)

    Thomas Dean

    Proceedings of the First International Workshop on Temporal Representation and Reasoning (TIME-94) (1994), pp. 3-12

  •  

    Monte Carlo Simulation and Bottleneck-Centered Heuristics for Time-critical Scheduling in Stochastic Domains

    Lloyd Greenwald, Thomas Dean

    ARPI Planning Initiative Workshop (1994)

  •  

    Solving Time-Critical Decision-Making Problems with Predictable Computational Demands

    Lloyd Greenwald, Thomas Dean

    Proceedings of the 2nd International Conference on AI Planning Systems (ICAPS-94), AAAI Press (1994), pp. 25-30

  •  

    Solving Time-critical Decision-making Problems with Predictable Computational Demands

    Thomas Dean, Lloyd Greenwald

    AIPS (1994), pp. 25-30

  •  

    Temporal Reasoning: A State-based approach

    Shieu-Hong Lin, Thomas Dean

    Proceedings of the First International Workshop on Temporal Representation and Reasoning (TIME-94) (1994), pp. 3-12

  •  

    Time-Critical Scheduling in Stochastic Domains

    Lloyd Greenwald, Thomas Dean

    AAAI (1994), pp. 1452

  •  

    Using Goals to Find Plans with High Expected Utility

    Jak Kirman, Ann Nicholson, Moises Lejter, Thomas Dean, Eugene Santos Jr.

    Current Trends in AI Planning, IOS Press, Amsterdam (1994)

  •  

    1992 AAAI Robot Exhibition and Competition

    Thomas Dean, R. Peter Bonasso

    AI Magazine, vol. 14 (1993), pp. 35-48

  •  

    Deliberation Scheduling for Time-Critical Sequential Decision Making

    Thomas Dean, Leslie Kaelbling, Jak Kirman, Ann Nicholson

    Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence, Morgan Kaufmann Publishers, San Francisco, California (1993), pp. 309-316

  •  

    Planning With Deadlines in Stochastic Domains

    Thomas Dean, Leslie Kaelbling, Jak Kirman, Ann Nicholson

    Proceedings AAAI-93, MIT Press, Cambridge, Massachusetts (1993), pp. 574-579

  •  

    Planning and Selective Perception for Mobile Robot Object Retrieval Tasks

    Theodore Camus, Jonathan Monsarrat, Thomas Dean

    Proceedings of the DARPA Image Understanding Workshop (1993)

  •   

    A Decision-Theoretic Approach to Planning, Perception, and Control

    Kenneth Basye, Thomas Dean, Jak Kirman, Moises Lejter

    IEEE Expert, vol. 7 (1992), pp. 58-65

  •  

    Anticipating Tomorrow's Technology Needs

    Thomas Dean

    Omni Magazine (1992)

  •  

    Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning

    Thomas Dean, Dana Angluin, Kenneth Basye, Sean Engelson, Leslie Kaelbling, Evangelos Kokkevis, Oded Maron

    Proceedings AAAI-92, MIT Press, Cambridge, Massachusetts (1992), pp. 208-214

  •  

    Learning Labelled Graphs from Noisy Data

    Leslie Kaelbling, Kenneth Basye, Thomas Dean

    Proceedings of the 7th Yale Workshop on Adaptive and Learning Systems (1992), pp. 149-154

  •  

    Reinforcement Learning for Planning and Control

    Thomas Dean, Ken Basye, John Shewchuk

    Machine Learning Methods for Planning and Scheduling, Morgan Kaufmann Publishers, San Francisco, California (1992)

  •  

    Representation Issues in Bayesian Decision Theory for Planning and Active Perception

    Thomas Dean, Jak Kirman

    Proceedings of the DARPA Image Understanding Workshop (1992), pp. 763-768

  •  

    Uncertainty in Graph-based Map Learning

    Thomas Dean, Ken Basye, Leslie Kaelbling

    Robot Learning, Kluwer (1992)

  •  

    Decision-Theoretic Control of Inference for Time-Critical Applications

    Thomas Dean

    International Journal Intelligent Systems, vol. 6 (1991), pp. 417-441

  •  

    Planning and Control

    Thomas Dean, Michael Wellman

    Morgan Kaufmann Publishers, San Francisco, California (1991)

  •  

    Proceedings of the Ninth National Conference on Artificial Intelligence, AAAI-91, Anaheim, California

    Thomas Dean, Kathy McKeown

    MIT Press, Cambridge, Massachusetts (1991)

  •  

    Sensor Abstractions for Control of Navigation

    Jak Kirman, Kenneth Basye, Thomas Dean

    Proceedings of the IEEE International Conference on Robotics and Automation (1991), pp. 2812-2817

  •  

    An Approach to Reasoning About Continuous Change for Applications in Planning

    Thomas Dean, Greg Siegle

    Proceedings AAAI-90, MIT Press, Cambridge, Massachusetts (1990), pp. 132-137

  •  

    Coping with Uncertainty in a Control System for Navigation and Exploration

    Thomas Dean, Kenneth Basye, Robert Chekaluk, Seungseok Hyun, Moises Lejter, Margaret Randazza

    Proceedings AAAI-90, MIT Press, Cambridge, Massachusetts (1990), pp. 1010-1015

  •  

    Planning and Active Perception

    Thomas Dean, Kenneth Basye, Moises Lejter

    Proceedings of the DARPA Workshop on Innovative Approaches to Planning, Scheduling, and Control (1990), pp. 271-276

  •  

    Prediction, Observation, and Estimation in Planning and Control

    Thomas Dean, Keiji Kanazawa, John Shewchuk

    Proceedings of the 5th IEEE International Symposium on Intelligent Control (1990), pp. 645-650

  •  

    Sequential Decision Making for Active Perception

    Thomas Dean, Theodore Camus, Jak Kirman

    Proceedings of the DARPA Image Understanding Workshop (1990), pp. 889-894

  •  

    Towards Learning Time-Varying Functions With High Input Dimensionality

    John Shewchuk, Thomas Dean

    Proceedings of the 5th IEEE International Symposium on Intelligent Control (1990), pp. 383-388

  •  

    A Model for Projection and Action

    Keiji Kanazawa, Thomas Dean

    Proceedings IJCAI-89, Morgan Kaufmann Publishers, San Francisco, California (1989), pp. 985-990

  •  

    A Model for Reasoning About Persistence and Causation

    Thomas Dean, Keiji Kanazawa

    Computational Intelligence Journal, vol. 5 (1989), pp. 142-150

  •  

    Approximation Algorithms for Planning and Control

    Mark Boddy, Thomas Dean

    Proceedings of the NASA Conference on Telerobotics (1989)

  •  

    Coping With Uncertainty in Map Learning

    Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter

    Proceedings IJCAI-89, Morgan Kaufmann Publishers, San Francisco, California (1989), pp. 663-668

  •  

    Map Learning With Indistinguishable Locations

    Kenneth Basye, Thomas Dean

    Proceedings of the NASA Conference on Telerobotics (1989)

  •  

    On the Value of Goals

    Thomas Dean, Michael Wellman

    Proceedings from the Rochester Planning Workshop: From Formal Systems to Practical Systems (1989), pp. 129-140

  •  

    Persistence and Probabilistic Inference

    Thomas Dean, Keiji Kanazawa

    IEEE Transactions on Systems, Man, and Cybernetics, vol. 19 (1989), pp. 574-585

  •  

    Solving Time-Dependent Planning Problems

    Mark Boddy, Thomas Dean

    Proceedings IJCAI-89, Morgan Kaufmann Publishers, San Francisco, California (1989), pp. 979-984

  •  

    Using Temporal Hierarchies to Efficiently Maintain Large Temporal Databases

    Thomas Dean

    Journal of the ACM, vol. 36 (1989), pp. 687-718

  •  

    An Analysis of Time-Dependent Planning

    Thomas Dean, Mark Boddy

    Proceedings AAAI-88, MIT Press, Cambridge, Massachusetts (1988), pp. 49-54

  •  

    An Approach to Reasoning About the Effects of Actions for Automated Planning Systems

    Thomas Dean

    Annals of Operations Research, vol. 12 (1988), pp. 147-167

  •  

    Hierarchical planning involving deadlines, travel time, and resources

    Thomas Dean, R. James Firby, David Miller

    Computational Intelligence, vol. 4 (1988), pp. 381-398

  •  

    Locating a Mobile Robot Using Local Observations and a Global Satellite Map

    Akira Hayahsi, Thomas Dean

    Proceedings of the 3rd IEEE International Symposium on Intelligent Control (1988), pp. 135-140

  •  

    On the Complexity of Integrating Spatial Measurements

    Thomas Dean

    Proceedings of the SPIE Conference on Advances in Intelligent Robotic Systems (1988)

  •  

    Planning Paradigms

    Thomas Dean

    Proceedings of the DARPA Knowledge-Based Planning Workshop (also appeared in the Proceedings of the 3rd Annual Workshop of Israel Association for Artificial Intelligence, and in the AI Magazine, Fall 1988)

  •  

    Probabilistic Causal Reasoning

    Thomas Dean, Keiji Kanazawa

    Proceedings of the Canadian Society for Computational Studies of Intelligence (1988), pp. 125-132

  •  

    Probabilistic Temporal Reasoning

    Thomas Dean, Keiji Kanazawa

    Proceedings AAAI-88, MIT Press, Cambridge, Massachusetts (1988), pp. 524-528

  •  

    Reasoning About Partially Ordered Events

    Thomas Dean, Mark Boddy

    Artificial Intelligence, vol. 36 (1988), pp. 375-399

  •  

    Benchmarks for Research in Planning

    Thomas Dean

    Proceedings of the 2nd Workshop on AI and Simulation (1987)

  •  

    Experiments in Planning and Control

    Thomas Dean

    Proceedings of the AAAI-87 Workshop on Planning for Autonomous Mobile Robots (1987)

  •  

    High-Level Planning and Low-Level Control

    Thomas Dean

    Proceedings of the SPIE Conference on Advances in Intelligent Robotic Systems (1987), pp. 496-501

  •  

    Incremental Causal Reasoning

    Thomas Dean, Mark S. Boddy

    AAAI (1987), pp. 196-201

  •  

    Incremental Causal Reasoning

    Thomas Dean, Mark Boddy

    Proceedings AAAI-87, MIT Press, Cambridge, Massachusetts (1987), pp. 196-201

  •  

    Large-Scale Temporal Data Bases for Planning in Complex Domains

    Thomas Dean

    IJCAI (1987), pp. 860-866

  •  

    Planning, Execution, and Control

    Thomas Dean

    Proceedings of the DARPA Knowledge-Based Planning Workshop (1987), 29:1-10

  •  

    Temporal Data Base Management

    Thomas Dean, Drew V. McDermott

    Artif. Intell., vol. 32 (1987), pp. 1-55

  •  

    Temporal Data Base Management

    Thomas Dean, Drew V. McDermott

    Artificial Intelligence, vol. 32 (1987), pp. 1-55

  •  

    Decision Support for Coordinated Multi-Agent Planning

    Thomas Dean

    Proceedings of the 3rd International ACM Conference on Office Information Systems (1986)

  •  

    Handling Shared Resources in a Temporal Database Management System

    Thomas Dean

    Decision Support Systems, vol. 2 (1986), pp. 135-143

  •  

    Intractability and Time-Dependent Planning

    Thomas Dean

    Reasoning About Actions and Plans, Morgan Kaufmann Publishers, San Francisco, California (1986), pp. 245-266

  •  

    Deadlines, Travel Time, and Robot Problem Solving

    David P. Miller, R. James Firby, Thomas Dean

    IJCAI (1985), pp. 1052-1054

  •  

    Efficient Robot Planning with Deadlines and Travel Time

    R. James Firby, Thomas L. Dean, David P. Miller

    Proceedings of the 6th International Symposium on Robotics and Automation (1985)

  •  

    Temporal Imagery: An Approach to Reasoning about Time for Planning and Problem Solving

    Thomas Dean

    Bell and Howell Information and Learning, Skokie, Illinois (1985)

  •  

    Temporal Notation and Causal Terminology

    Yoav Shoham, Thomas Dean

    Proceedings 7th Annual Conference of the Cognitive Science Society (1985), pp. 90-99

  •  

    Temporal Reasoning Involving Counterfactuals and Disjunctions

    Thomas Dean

    IJCAI (1985), pp. 1060-1062

  •  

    Managing Time Maps

    Thomas Dean

    Proceedings of the Canadian Society for Computational Studies of Intelligence (1984)

  •  

    Planning and Temporal Reasoning under Uncertainty

    Thomas Dean

    Proceedings of the IEEE Workshop on Principles of Knowledge-Based Systems (1984), pp. 131-138