Thomas Dean
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
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Contextual LSTM: A Step towards Hierarchical Language Modeling
Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry Heck
Workshop on LargeĀ-scale Deep Learning for Data Mining - KDD (2016) (to appear)
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Neural Networks and Neuroscience-Inspired Computer Vision
David Cox, Tom Dean
Current Biology, vol. 24 (2014), pp. 921-929
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The atoms of neural computation
Gary Marcus, Adam Marblestone, Tom Dean
Science, vol. 346 (2014), pp. 551-552
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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)
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Fast, Accurate Detection of 100,000 Object Classes on a Single Machine: Technical Supplement
Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)
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On the Technology Prospects and Investment Opportunities for Scalable Neuroscience
Thomas Dean, Biafra Ahanonu, Mainak Chowdhury, Anjali Datta, Andre Esteva, Daniel Eth, Nobie Redmon, Oleg Rumyantsev, Ysis Tarter
ArXiv (2013)
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Three Controversial Hypotheses Concerning Computation in the Primate Cortex
Thomas Dean, Greg Corrado, Jonathon Shlens
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI Press (2012)
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Graphical Models of the Visual Cortex
Heuristics, Probability and Causality, College Publications, King's College London, Strand, London WC2R 2LS, UK (2010), pp. 121-142
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Sparse Spatiotemporal Coding for Activity Recognition
Thomas Dean, Greg Corrado, Rich Washington
Brown University (2010)
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Recursive Sparse Spatiotemporal Coding
Thomas Dean, Greg Corrado, Richard Washington
Proceedings of the Fifth IEEE International Workshop on Multimedia Information Processing and Retrieval, IEEE Computer Society (2009)
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On the Prospects for Building a Working Model of the Visual Cortex
Thomas Dean, Glenn Carroll, Richard Washington
Proceedings of AAAI-07, MIT Press, Cambridge, Massachusetts (2007), pp. 1597-1600
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Learning Invariant Features Using Inertial Priors
Annals of Mathematics and Artificial Intelligence, vol. 47 (2006), pp. 223-250
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Scalable Inference in Hierarchical Generative Models
Proceedings of the Ninth International Symposium on Artificial Intelligence and Mathematics (2006)
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A Computational Model of the Cerebral Cortex
Proceedings of AAAI-05, MIT Press, Cambridge, Massachusetts (2005), pp. 938-943
Previous Publications
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A Computational Model of the Cerebral Cortex
AAAI (2005), pp. 938-943
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Talking With Computers
Cambridge University Press, New York (2005)
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Equivalence Notions and Model Minimization in Markov Decision Processes
Robert Givan, Thomas Dean, Matthew Greig
Artificial Intelligence, vol. 147 (2003), pp. 163-223
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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
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Exploiting Locality in Searching the Web
Joel Young, Thomas Dean
UAI (2003), pp. 608-615
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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
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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
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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
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Bounded Parameter Markov Decision Processes
Robert Givan, Sonia Leach, Thomas Dean
Artificial Intelligence, vol. 122 (2000), pp. 71-109
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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
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Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99, Stockholm, Sweden
Morgan Kaufmann Publishers, San Francisco, California (1999)
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A Conditional Scheduling Approach to Designing Real-Time Systems
Lloyd Greenwald, Thomas Dean
AIPS (1998), pp. 224-231
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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
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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
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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
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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
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Solving Stochastic Planning Problems with Large State and Action Spaces
Thomas Dean, Robert Givan, Kee-Eung Kim
AIPS (1998), pp. 102-110
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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
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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
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A Retrospective of the AAAI Robot Competitions
R. Peter Bonasso, Thomas Dean
AI Magazine, vol. 18 (1997), pp. 11-23
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Bounded Parameter Markov Decision Processes
Robert Givan, Sonia M. Leach, Thomas Dean
ECP (1997), pp. 234-246
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Coping with Uncertainty in Map Learning
Kenneth Basye, Thomas Dean, Jeffrey Scott Vitter
Machine Learning, vol. 29 (1997), pp. 65-88
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Model Minimization in Markov Decision Processes
Thomas Dean, Robert Givan
AAAI/IAAI (1997), pp. 106-111
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Model Minimization, Regression, and Propositional STRIPS Planning
Robert Givan, Thomas Dean
IJCAI (1997), pp. 1163-1168
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Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
Thomas Dean, Robert Givan, Sonia M. Leach
UAI (1997), pp. 124-131
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Planning and Scheduling
Thomas Dean, Subbarao Kambhampati
The Computer Science and Engineering Handbook (1997), pp. 614-636
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Strategic Directions in Artificial Intelligence (Reprint)
Jon Doyle, Thomas Dean
AI Magazine, vol. 18 (1997), pp. 87-101
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A Framework for the Development of Multiagent Architectures
Moises Lejter, Thomas Dean
IEEE Expert, vol. 11 (1996), pp. 47-59
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Automated Planning
ACM Comput. Surv., vol. 28 (1996), pp. 85-87
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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
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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
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Context-Dependent Computational Components
SIGART Bulletin, vol. 7 (1996), pp. 3-6
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Integrating Theory and Practice in Planning
ACM Comput. Surv., vol. 28 (1996), pp. 2
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Localized Temporal Reasoning Using Subgoals and Abstract Events
Shieu-Hong Lin, Thomas Dean
Computational Intelligence, vol. 12 (1996), pp. 423-449
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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
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Package routing in transportation networks with fixed vehicle schedules
Lloyd Greenwald, Thomas Dean
Networks, vol. 27 (1996), pp. 81-93
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Robots With AI: A Retrospective on the AAAI Robot Competitions and Exhibitions
R. Peter Bonasso, Thomas Dean
AAAI/IAAI, Vol. 2 (1996), pp. 1321
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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)
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Artificial Intelligence: Theory and Practice
Thomas Dean, James Allen, Yiannis Aloimonos
Addison-Wesley Publishing Company, Reading, Massachusetts (1995)
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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
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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
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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
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Learning Dynamics: System Identification for Perceptually Challenged Agents
Kenneth Basye, Thomas Dean, Leslie Kaelbling
Artificial Intelligence, vol. 72 (1995), pp. 139-171
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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
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Planning Under Time Constraints in Stochastic Domains
Thomas Dean, Leslie Kaelbling, Jak Kirman, Ann Nicholson
Artificial Intelligence, vol. 76 (1995), pp. 35-74
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Planning Under Uncertainty: Structural Assumptions and Computational Leverage
Craig Boutilier, Thomas Dean, Steve Hanks
Proceedings of the 3rd European Workshop on Planning (1995)
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Review: AI Scheduling Methods
IEEE Expert, vol. 10 (1995), pp. 76-77
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Decision-Theoretic Deliberation Scheduling for Problem Solving in Time-Constrained Environments
Mark Boddy, Thomas Dean
Artificial Intelligence, vol. 67 (1994), pp. 245-286
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Deliberation Scheduling for Problem Solving in Time-Constrained Environments
Mark S. Boddy, Thomas Dean
Artif. Intell., vol. 67 (1994), pp. 245-285
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Exploiting Locality in Temporal Reasoning
Shieu-Hong Lin, Thomas Dean
Current Trends in AI Planning, {IOS} Press, Amsterdam (1994)
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Localized Temporal Reasoning: A State-Based Approach
Shieu-Hong Lin, Thomas Dean
TIME (1994), pp. 3-12
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Meditations on Time and Space: Expediting Temporal Reasoning by Exploiting Time and Space (Abstract)
Proceedings of the First International Workshop on Temporal Representation and Reasoning (TIME-94) (1994), pp. 3-12
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Monte Carlo Simulation and Bottleneck-Centered Heuristics for Time-critical Scheduling in Stochastic Domains
Lloyd Greenwald, Thomas Dean
ARPI Planning Initiative Workshop (1994)
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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
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Solving Time-critical Decision-making Problems with Predictable Computational Demands
Thomas Dean, Lloyd Greenwald
AIPS (1994), pp. 25-30
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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
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Time-Critical Scheduling in Stochastic Domains
Lloyd Greenwald, Thomas Dean
AAAI (1994), pp. 1452
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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)
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1992 AAAI Robot Exhibition and Competition
Thomas Dean, R. Peter Bonasso
AI Magazine, vol. 14 (1993), pp. 35-48
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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
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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
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Planning and Selective Perception for Mobile Robot Object Retrieval Tasks
Theodore Camus, Jonathan Monsarrat, Thomas Dean
Proceedings of the DARPA Image Understanding Workshop (1993)
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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
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Anticipating Tomorrow's Technology Needs
Omni Magazine (1992)
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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
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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
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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)
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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
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Uncertainty in Graph-based Map Learning
Thomas Dean, Ken Basye, Leslie Kaelbling
Robot Learning, Kluwer (1992)
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Decision-Theoretic Control of Inference for Time-Critical Applications
International Journal Intelligent Systems, vol. 6 (1991), pp. 417-441
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Planning and Control
Thomas Dean, Michael Wellman
Morgan Kaufmann Publishers, San Francisco, California (1991)
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Proceedings of the Ninth National Conference on Artificial Intelligence, AAAI-91, Anaheim, California
Thomas Dean, Kathy McKeown
MIT Press, Cambridge, Massachusetts (1991)
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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
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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
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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
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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
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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
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Sequential Decision Making for Active Perception
Thomas Dean, Theodore Camus, Jak Kirman
Proceedings of the DARPA Image Understanding Workshop (1990), pp. 889-894
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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
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A Model for Projection and Action
Keiji Kanazawa, Thomas Dean
Proceedings IJCAI-89, Morgan Kaufmann Publishers, San Francisco, California (1989), pp. 985-990
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A Model for Reasoning About Persistence and Causation
Thomas Dean, Keiji Kanazawa
Computational Intelligence Journal, vol. 5 (1989), pp. 142-150
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Approximation Algorithms for Planning and Control
Mark Boddy, Thomas Dean
Proceedings of the NASA Conference on Telerobotics (1989)
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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
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Map Learning With Indistinguishable Locations
Kenneth Basye, Thomas Dean
Proceedings of the NASA Conference on Telerobotics (1989)
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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
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Persistence and Probabilistic Inference
Thomas Dean, Keiji Kanazawa
IEEE Transactions on Systems, Man, and Cybernetics, vol. 19 (1989), pp. 574-585
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Solving Time-Dependent Planning Problems
Mark Boddy, Thomas Dean
Proceedings IJCAI-89, Morgan Kaufmann Publishers, San Francisco, California (1989), pp. 979-984
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Using Temporal Hierarchies to Efficiently Maintain Large Temporal Databases
Journal of the ACM, vol. 36 (1989), pp. 687-718
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An Analysis of Time-Dependent Planning
Thomas Dean, Mark Boddy
Proceedings AAAI-88, MIT Press, Cambridge, Massachusetts (1988), pp. 49-54
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An Approach to Reasoning About the Effects of Actions for Automated Planning Systems
Annals of Operations Research, vol. 12 (1988), pp. 147-167
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Hierarchical planning involving deadlines, travel time, and resources
Thomas Dean, R. James Firby, David Miller
Computational Intelligence, vol. 4 (1988), pp. 381-398
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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
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On the Complexity of Integrating Spatial Measurements
Proceedings of the SPIE Conference on Advances in Intelligent Robotic Systems (1988)
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Planning Paradigms
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)
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Probabilistic Causal Reasoning
Thomas Dean, Keiji Kanazawa
Proceedings of the Canadian Society for Computational Studies of Intelligence (1988), pp. 125-132
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Probabilistic Temporal Reasoning
Thomas Dean, Keiji Kanazawa
Proceedings AAAI-88, MIT Press, Cambridge, Massachusetts (1988), pp. 524-528
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Reasoning About Partially Ordered Events
Thomas Dean, Mark Boddy
Artificial Intelligence, vol. 36 (1988), pp. 375-399
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Benchmarks for Research in Planning
Proceedings of the 2nd Workshop on AI and Simulation (1987)
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Experiments in Planning and Control
Proceedings of the AAAI-87 Workshop on Planning for Autonomous Mobile Robots (1987)
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High-Level Planning and Low-Level Control
Proceedings of the SPIE Conference on Advances in Intelligent Robotic Systems (1987), pp. 496-501
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Incremental Causal Reasoning
Thomas Dean, Mark S. Boddy
AAAI (1987), pp. 196-201
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Incremental Causal Reasoning
Thomas Dean, Mark Boddy
Proceedings AAAI-87, MIT Press, Cambridge, Massachusetts (1987), pp. 196-201
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Large-Scale Temporal Data Bases for Planning in Complex Domains
IJCAI (1987), pp. 860-866
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Planning, Execution, and Control
Proceedings of the DARPA Knowledge-Based Planning Workshop (1987), 29:1-10
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Temporal Data Base Management
Thomas Dean, Drew V. McDermott
Artificial Intelligence, vol. 32 (1987), pp. 1-55
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Temporal Data Base Management
Thomas Dean, Drew V. McDermott
Artif. Intell., vol. 32 (1987), pp. 1-55
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Decision Support for Coordinated Multi-Agent Planning
Proceedings of the 3rd International ACM Conference on Office Information Systems (1986)
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Handling Shared Resources in a Temporal Database Management System
Decision Support Systems, vol. 2 (1986), pp. 135-143
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Intractability and Time-Dependent Planning
Reasoning About Actions and Plans, Morgan Kaufmann Publishers, San Francisco, California (1986), pp. 245-266
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Deadlines, Travel Time, and Robot Problem Solving
David P. Miller, R. James Firby, Thomas Dean
IJCAI (1985), pp. 1052-1054
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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)
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Temporal Imagery: An Approach to Reasoning about Time for Planning and Problem Solving
Bell and Howell Information and Learning, Skokie, Illinois (1985)
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Temporal Notation and Causal Terminology
Yoav Shoham, Thomas Dean
Proceedings 7th Annual Conference of the Cognitive Science Society (1985), pp. 90-99
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Temporal Reasoning Involving Counterfactuals and Disjunctions
IJCAI (1985), pp. 1060-1062
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Managing Time Maps
Proceedings of the Canadian Society for Computational Studies of Intelligence (1984)
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Planning and Temporal Reasoning under Uncertainty
Proceedings of the IEEE Workshop on Principles of Knowledge-Based Systems (1984), pp. 131-138








