Michael P. Wellman

David M. Pennock, Michael P. Wellman: Compact Securities Markets for Pareto Optimal Reallocation of Risk. CoRR abs/1301.3886 (2013)

David V. Pynadath, Michael P. Wellman: Probabilistic State-Dependent Grammars for Plan Recognition. CoRR abs/1301.3888 (2013)

David M. Pennock, Michael P. Wellman: Graphical Representations of Consensus Belief. CoRR abs/1301.6732 (2013)

Chao-Lin Liu, Michael P. Wellman: Incremental Tradeoff Resolution in Qualitative Probabilistic Networks. CoRR abs/1301.7395 (2013)

Chao-Lin Liu, Michael P. Wellman: Using Qualitative Relationships for Bounding Probability Distributions. CoRR abs/1301.7396 (2013)

David M. Pennock, Michael P. Wellman: Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. CoRR abs/1302.1564 (2013)

David M. Pennock, Michael P. Wellman: Toward a Market Model for Bayesian Inference. CoRR abs/1302.3593 (2013)

Peter R. Wurman, Michael P. Wellman: Optimal Factory Scheduling using Stochastic Dominance A*. CoRR abs/1302.3611 (2013)

David V. Pynadath, Michael P. Wellman: Accounting for Context in Plan Recognition, with Application to Traffic Monitoring. CoRR abs/1302.4980 (2013)

Michael P. Wellman, Matthew Ford, Kenneth Larson: Path Planning under Time-Dependent Uncertainty. CoRR abs/1302.4987 (2013)

Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman: The Automated Mapping of Plans for Plan Recognition. CoRR abs/1302.6821 (2013)

Michael P. Wellman, Chao-Lin Liu: State-space Abstraction for Anytime Evaluation of Probabilistic Networks. CoRR abs/1302.6850 (2013)

Michael P. Wellman: Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning. CoRR abs/1304.1081 (2013)

Michael P. Wellman, David Heckerman: The Role of Calculi in Uncertain Inference Systems. CoRR abs/1304.2747 (2013)

Michael P. Wellman: Qualitative Probabilistic Networks for Planning Under Uncertainty. CoRR abs/1304.3115 (2013)

Bruce D'Ambrosio, Didier Dubois, Philippe Smets, Michael P. Wellman: Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992). CoRR abs/1304.3852 (2013)

Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman: Constrained automated mechanism design for infinite games of incomplete information. Autonomous Agents and Multi-Agent Systems 25(2): 313-351 (2012)

Ben-Alexander Cassell, Michael P. Wellman: Asset pricing under ambiguous information: an empirical game-theoretic analysis. Computational & Mathematical Organization Theory 18(4): 445-462 (2012)

Quang Duong, Michael P. Wellman, Satinder P. Singh, Michael Kearns: Learning and predicting dynamic networked behavior with graphical multiagent models. AAMAS 2012: 441-448

Bryce Wiedenbeck, Michael P. Wellman: Scaling simulation-based game analysis through deviation-preserving reduction. AAMAS 2012: 931-938

Michael P. Wellman, Eric Sodomka, Amy Greenwald: Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. UAI 2012: 893-902

Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck: Strategic formation of credit networks. WWW 2012: 559-568

Michael P. Wellman, Lu Hong, Scott E. Page: The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information. CoRR abs/1202.3768 (2012)

Quang Duong, Michael P. Wellman, Satinder P. Singh: Knowledge Combination in Graphical Multiagent Model. CoRR abs/1206.3248 (2012)

Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman: Constrained Automated Mechanism Design for Infinite Games of Incomplete Information. CoRR abs/1206.5288 (2012)

Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason: Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. CoRR abs/1207.1400 (2012)

Daniel M. Reeves, Michael P. Wellman: Computing Best-Response Strategies in Infinite Games of Incomplete Information. CoRR abs/1207.4171 (2012)

Michael P. Wellman, Eric Sodomka, Amy Greenwald: Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. CoRR abs/1210.4915 (2012)

Michael P. Wellman: Trading Agents. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2011

Quang Duong, Michael P. Wellman, Satinder P. Singh: Modeling Information Diffusion in Networks with Unobserved Links. SocialCom/PASSAT 2011: 362-369

Ben-Alexander Cassell, Michael P. Wellman: Agent-based analysis of asset pricing under ambiguous information. SpringSim (ADS) 2011: 21-28

Gregory Frazier, Quang Duong, Michael P. Wellman, Edward Petersen: Incentivizing Responsible Networking via Introduction-Based Routing. TRUST 2011: 277-293

Michael P. Wellman, Lu Hong, Scott E. Page: The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information. UAI 2011: 727-735

William E. Walsh, Michael P. Wellman: Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis. CoRR abs/1107.0021 (2011)

Kevin M. Lochner, Daniel M. Reeves, Yevgeniy Vorobeychik, Michael P. Wellman: Price Prediction in a Trading Agent Competition. CoRR abs/1107.0034 (2011)

Clint R. Bidlack, Michael P. Wellman: Exceptional Data Quality using Intelligent Matching and Retrieval. AI Magazine 31(1): 65-73 (2010)

Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz: AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Magazine 31(3): 103-114 (2010)

Quang Duong, Kristen LeFevre, Michael P. Wellman: Strategic Modeling of Information Sharing among Data Privacy Attackers. Informatica (Slovenia) 34(2): 151-158 (2010)

Yagil Engel, Michael P. Wellman: Multiattribute Auctions Based on Generalized Additive Independence. J. Artif. Intell. Res. (JAIR) 37: 479-525 (2010)

Patrick R. Jordan, Michael P. Wellman: Algorithms for Finding Approximate Formations in Games. AAAI 2010

Patrick R. Jordan, L. Julian Schvartzman, Michael P. Wellman: Strategy exploration in empirical games. AAMAS 2010: 1131-1138

Quang Duong, Michael P. Wellman, Satinder P. Singh, Yevgeniy Vorobeychik: History-dependent graphical multiagent models. AAMAS 2010: 1215-1222

Ben-Alexander Cassell, Michael P. Wellman: Agent-based analysis of asset pricing under ambiguous information. AAMAS 2010: 1493-1494

Vinay K. Chaudhri, Bert Bredeweg, Richard Fikes, Sheila A. McIlraith, Michael P. Wellman: A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base. FOIS 2010: 158-171

Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan: Strategy and mechanism lessons from the first ad auctions trading agent competition. ACM Conference on Electronic Commerce 2010: 287-296

Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Lee F. Callender, Michael P. Wellman: Forecasting market prices in a supply chain game. Electronic Commerce Research and Applications 8(2): 63-77 (2009)

Patrick R. Jordan, Michael P. Wellman: Designing an Ad Auctions Game for the Trading Agent Competition. AMEC/TADA 2009: 147-162

L. Julian Schvartzman, Michael P. Wellman: Learning Improved Entertainment Trading Strategies for the TAC Travel Game. AMEC/TADA 2009: 195-210

Kevin M. Lochner, Michael P. Wellman: Information Feedback and Efficiency in Multiattribute Double Auctions. AMMA 2009: 26-39

L. Julian Schvartzman, Michael P. Wellman: Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning. AAMAS (1) 2009: 249-256

Patrick R. Jordan, Michael P. Wellman: Generalization risk minimization in empirical game models. AAMAS (1) 2009: 553-560

Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman: Computing Utility from Weighted Description Logic Preference Formulas. DALT 2009: 158-173

Quang Duong, Yevgeniy Vorobeychik, Satinder P. Singh, Michael P. Wellman: Learning Graphical Game Models. IJCAI 2009: 116-121

Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman: Weighted Description Logics Preference Formulas for Multiattribute Negotiation. SUM 2009: 193-205

Yevgeniy Vorobeychik, Michael P. Wellman: Strategic Analysis with Simulation-based Games. Winter Simulation Conference 2009: 359-372

Yagil Engel, Michael P. Wellman: CUI Networks: A Graphical Representation for Conditional Utility Independence. J. Artif. Intell. Res. (JAIR) 31: 83-112 (2008)

Michael P. Wellman, Amy Greenwald, Peter Stone: Book announcement: autonomous bidding agents. SIGecom Exchanges 7(2) (2008)

Yevgeniy Vorobeychik, Michael P. Wellman: Stochastic search methods for nash equilibrium approximation in simulation-based games. AAMAS (2) 2008: 1055-1062

Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P. Wellman: Searching for approximate equilibria in empirical games. AAMAS (2) 2008: 1063-1070

Christopher Kiekintveld, Michael P. Wellman: Selecting strategies using empirical game models: an experimental analysis of meta-strategies. AAMAS (2) 2008: 1095-1101

Quang Duong, Michael P. Wellman, Satinder P. Singh: Knowledge Combination in Graphical Multiagent Models. UAI 2008: 153-160

Michael P. Wellman, Amy Greenwald, Peter Stone: Autonomous bidding agents - strategies and lessons from the trading agent competition. MIT Press 2007, isbn 978-0-262-23260-9, pp. I-XI, 1-238

Rakesh V. Vohra, Michael P. Wellman: Foundations of multi-agent learning: Introduction to the special issue. Artif. Intell. 171(7): 363-364 (2007)

Sarabjot Singh Anand, Daniel Bahls, Catherina Burghart, Mark H. Burstein, Huajun Chen, John Collins, Thomas G. Dietterich, Jon Doyle, Chris Drummond, William Elazmeh, Christopher W. Geib, Judy Goldsmith, Hans W. Guesgen, Jim Hendler, Dietmar Jannach, Nathalie Japkowicz, Ulrich Junker, Gal A. Kaminka, Alfred Kobsa, Jérôme Lang, David B. Leake, Lundy Lewis, Gerard Ligozat, Sofus A. Macskassy, Drew V. McDermott, Ted Metzler, Bamshad Mobasher, Ullas Nambiar, Zaiqing Nie, Klas Orsvärn, Barry O'Sullivan, David V. Pynadath, Jochen Renz, Rita V. Rodríguez, Thomas Roth-Berghofer, Stefan Schulz, Rudi Studer, Yimin Wang, Michael P. Wellman: AAAI-07 Workshop Reports. AI Magazine 28(4): 119-128 (2007)

Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh: Learning payoff functions in infinite games. Machine Learning 67(1-2): 145-168 (2007)

Vishal Soni, Satinder P. Singh, Michael P. Wellman: Constraint satisfaction algorithms for graphical games. AAMAS 2007: 67

Patrick R. Jordan, Christopher Kiekintveld, Michael P. Wellman: Empirical game-theoretic analysis of the TAC Supply Chain game. AAMAS 2007: 193

Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman: Forecasting market prices in a supply chain game. AAMAS 2007: 234

Shih-Fen Cheng, Michael P. Wellman: Iterated Weaker-than-Weak Dominance. IJCAI 2007: 1233-1238

Yagil Engel, Michael P. Wellman: Generalized value decomposition and structured multiattribute auctions. ACM Conference on Electronic Commerce 2007: 227-236

Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman: Constrained Automated Mechanism Design for Infinite Games of Incomplete Information. UAI 2007: 400-407

Yagil Engel, Michael P. Wellman: CUI Networks: A Graphical Representation for Conditional Utility Independence. AAAI 2006: 1137-1142

Michael P. Wellman: Methods for Empirical Game-Theoretic Analysis. AAAI 2006: 1552-1556

Patrick R. Jordan, Christopher Kiekintveld, Jason Miller, Michael P. Wellman: Market Efficiency, Sales Competition, and the Bullwhip Effect in the TAC SCM Tournaments. TADA/AMEC 2006: 62-74

Yagil Engel, Michael P. Wellman, Kevin M. Lochner: Bid expressiveness and clearing algorithms in multiattribute double auctions. ACM Conference on Electronic Commerce 2006: 110-119

Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman: Controlling a supply chain agent using value-based decomposition. ACM Conference on Electronic Commerce 2006: 208-217

Yevgeniy Vorobeychik, Christopher Kiekintveld, Michael P. Wellman: Empirical mechanism design: methods, with application to a supply-chain scenario. ACM Conference on Electronic Commerce 2006: 306-315

Hideyuki Nakashima, Michael P. Wellman, Gerhard Weiss, Peter Stone (Eds.): 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006. ACM 2006, isbn 1-59593-303-4

Michael P. Wellman, Joshua Estelle, Satinder P. Singh, Yevgeniy Vorobeychik, Christopher Kiekintveld, Vishal Soni: Strategic Interactions in a Supply Chain Game. Computational Intelligence 21(1): 1-26 (2005)

David M. Pennock, Michael P. Wellman: Graphical Models for Groups: Belief Aggregation and Risk Sharing. Decision Analysis 2(3): 148-164 (2005)

Daniel M. Reeves, Michael P. Wellman, Jeffrey K. MacKie-Mason, Anna Osepayshvili: Exploring bidding strategies for market-based scheduling. Decision Support Systems 39(1): 67-85 (2005)

Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman: Betting Boolean-style: a framework for trading in securities based on logical formulas. Decision Support Systems 39(1): 87-104 (2005)

Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman: Walverine: a Walrasian trading agent. Decision Support Systems 39(2): 169-184 (2005)

Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri: Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. AAAI 2005: 502-508

Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason: Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. Computing and Markets 2005

Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh: Learning Payoff Functions in Infinite Games. IJCAI 2005: 977-982

Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason: Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. UAI 2005: 441-449

Chao-Lin Liu, Michael P. Wellman: Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications. Int. J. Approx. Reasoning 36(1): 31-73 (2004)

Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik: Price Prediction in a Trading Agent Competition. J. Artif. Intell. Res. (JAIR) 21: 19-36 (2004)

Christopher Kiekintveld, Michael P. Wellman, Satinder P. Singh, Vishal Soni: Value-driven procurement in the TAC supply chain game. SIGecom Exchanges 4(3): 9-18 (2004)

Jeffrey K. MacKie-Mason, Anna Osepayshvili, Daniel M. Reeves, Michael P. Wellman: Price Prediction Strategies for Market-Based Scheduling. ICAPS 2004: 244-252

Christopher Kiekintveld, Michael P. Wellman, Satinder P. Singh, Joshua Estelle, Yevgeniy Vorobeychik, Vishal Soni, Matthew R. Rudary: Distributed Feedback Control for Decision Making on Supply Chains. ICAPS 2004: 384-392

Kevin M. Lochner, Michael P. Wellman: Rule-Based Specification of Auction Mechanisms. AAMAS 2004: 818-825

Joshua Estelle, Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh, Christopher Kiekintveld, Vishal Soni: Strategic Interactions in the TAC 2003 Supply Chain Tournament. Computers and Games 2004: 316-331

Satinder P. Singh, Vishal Soni, Michael P. Wellman: Computing approximate bayes-nash equilibria in tree-games of incomplete information. ACM Conference on Electronic Commerce 2004: 81-90

Daniel M. Reeves, Michael P. Wellman: Computing Best-Response Strategies in Infinite Games of Incomplete Information. UAI 2004: 470-478

William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman: On market-inspired approaches to propositional satisfiability. Artif. Intell. 144(1-2): 125-156 (2003)

Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman: The 2001 Trading Agent Competition. Electronic Markets 13(1) (2003)

Michael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, Kevin M. Lochner: Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intelligent Systems 18(6): 48-53 (2003)

William E. Walsh, Michael P. Wellman: Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis. J. Artif. Intell. Res. (JAIR) 19: 513-567 (2003)

Junling Hu, Michael P. Wellman: Nash Q-Learning for General-Sum Stochastic Games. Journal of Machine Learning Research 4: 1039-1069 (2003)

Michael P. Wellman, Daniel A. Menascé, Peter R. Wurman: Letter from the new chair. SIGecom Exchanges 4(2) (2003)

Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman: Walverine: a Walrasian trading agent. AAMAS 2003: 465-472

Shih-Fen Cheng, Michael P. Wellman, Dennis G. Perry: Market-Based Resource Allocation for Information-Collection Scenarios. MAMUS 2003: 33-47

Michael P. Wellman, Jeffrey K. MacKie-Mason, Daniel M. Reeves, Sowmya Swaminathan: Exploring bidding strategies for market-based scheduling. ACM Conference on Electronic Commerce 2003: 115-124

Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman: Betting boolean-style: a framework for trading in securities based on logical formulas. ACM Conference on Electronic Commerce 2003: 144-155

Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner: Price prediction in a trading agent competition (extended abstract). ACM Conference on Electronic Commerce 2003: 216-217

Peter R. Wurman, Michael P. Wellman, William E. Walsh: Specifying Rules for Electronic Auctions. AI Magazine 23(3): 15-24 (2002)

Daniel M. Reeves, Michael P. Wellman, Benjamin N. Grosof: Automated Negotiation from Declarative Contract Descriptions. Computational Intelligence 18(4): 482-500 (2002)

Chao-Lin Liu, Michael P. Wellman: Evaluation of Bayesian networks with flexible state-space abstraction methods. Int. J. Approx. Reasoning 30(1): 1-39 (2002)

Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman: The 2001 Trading Agent Competition. AAAI/IAAI 2002: 935-942

Junling Hu, Michael P. Wellman: Learning about other agents in a dynamic multiagent system. Cognitive Systems Research 2(1): 67-79 (2001)

Junling Hu, Michael P. Wellman: Erratum to "Learning about other agents in a dynamic multiagent system": [Cognitive Systems Research 2 (2001) 67-79]^⋆. Cognitive Systems Research 2(3): 233 (2001)

Michael P. Wellman, William E. Walsh, Peter R. Wurman, Jeffrey K. MacKie-Mason: Auction Protocols for Decentralized Scheduling. Games and Economic Behavior 35(1-2): 271-303 (2001)

Peter R. Wurman, Michael P. Wellman, William E. Walsh: A Parametrization of the Auction Design Space. Games and Economic Behavior 35(1-2): 304-338 (2001)

Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-De Lin, Daniel M. Reeves, William E. Walsh: Designing the Market Game for a Trading Agent Competition. IEEE Internet Computing 5(2): 43-51 (2001)

Daniel M. Reeves, Michael P. Wellman, Benjamin N. Grosof: Automated negotiation from declarative contract descriptions. Agents 2001: 51-58

William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman: On Market-Inspired Approaches to Propositional Satisfiability. IJCAI 2001: 1152-1160

William E. Walsh, Michael P. Wellman: MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability. AAAI/IAAI 2000: 303-309

Michael P. Wellman, William E. Walsh: Distributed Quiescence Detection in Multiagent Negotiation. ICMAS 2000: 317-324

Junling Hu, Michael P. Wellman: Experimental Results on Q-Learning for General-Sum Stochastic Games. ICML 2000: 407-414

Peter R. Wurman, Michael P. Wellman: AkBA: a progressive, anonymous-price combinatorial auction. ACM Conference on Electronic Commerce 2000: 21-29

William E. Walsh, Michael P. Wellman, Fredrik Ygge: Combinatorial auctions for supply chain formation. ACM Conference on Electronic Commerce 2000: 260-269

David M. Pennock, Michael P. Wellman: Compact Securities Markets for Pareto Optimal Reallocation of Risk. UAI 2000: 481-488

David V. Pynadath, Michael P. Wellman: Probabilistic State-Dependent Grammars for Plan Recognition. UAI 2000: 507-514

Steven Minton, Michael P. Wellman: JAIR at Five. AI Magazine 20(2): 83-91 (1999)

Michael P. Wellman: Agents and Electronic Commerce: Mechanisms and Protocols (Abstract). CIA 1999: 243-244

William E. Walsh, Michael P. Wellman: Modeling Supply Chain Formation in Multiagent Systems. Agent Mediated Electronic Commerce (IJCAI Workshop) 1999: 94-101

William E. Walsh, Michael P. Wellman: Efficiency and Equilibrium in Task Allocation Economies with Hierarchical Dependencies. IJCAI 1999: 520-526

David M. Pennock, Michael P. Wellman: Graphical Representations of Consensus Belief. UAI 1999: 531-540

Michael P. Wellman, Junling Hu: Conjectural Equilibrium in Multiagent Learning. Machine Learning 33(2-3): 179-200 (1998)

David V. Pynadath, Michael P. Wellman: Generalized Queries on Probabilistic Context-Free Grammars. IEEE Trans. Pattern Anal. Mach. Intell. 20(1): 65-77 (1998)

Michael P. Wellman, Peter R. Wurman: Market-aware agents for a multiagent world. Robotics and Autonomous Systems 24(3-4): 115-125 (1998)

Junling Hu, Michael P. Wellman: Online Learning about Other Agents in a Dynamic Multiagent System. Agents 1998: 239-246

Peter R. Wurman, Michael P. Wellman, William E. Walsh: The Michigan Internet AcutionBot: A Configuarable Auction Server for Human and Software Agents. Agents 1998: 301-308

William E. Walsh, Michael P. Wellman, Peter R. Wurman, Jeffrey K. MacKie-Mason: Some Economics of Market-Based Distributed Scheduling. ICDCS 1998: 612-621

William E. Walsh, Michael P. Wellman: A Market Protocol for Decentralized Task Allocation. ICMAS 1998: 325-332

Junling Hu, Michael P. Wellman: Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. ICML 1998: 242-250

Chao-Lin Liu, Michael P. Wellman: Incremental Tradeoff Resolution in Qualitative Probabilistic Networks. UAI 1998: 338-345

Chao-Lin Liu, Michael P. Wellman: Using Qualitative Relationships for Bounding Probability Distributions. UAI 1998: 346-353

Craig Boutilier, Yoav Shoham, Michael P. Wellman: Economic Principles of Multi-Agent Systems. Artif. Intell. 94(1-2): 1-6 (1997)

Michael P. Wellman: Market-Oriented Programming (Abstract). AAAI/IAAI 1997: 774

Michael P. Wellman: Market-Aware Agents for a Multiagent World. MAAMAW 1997: 1

David M. Pennock, Michael P. Wellman: Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. UAI 1997: 392-400

Daniel E. Atkins, William P. Birmingham, Edmund H. Durfee, Eric J. Glover, Tracy Mullen, Elke A. Rundensteiner, Elliot Soloway, José M. Vidal, Raven Wallace, Michael P. Wellman: Toward Inquiry-Based Education Through Interacting Software Agents. IEEE Computer 29(5): 69-76 (1996)

Michael P. Wellman: The Economic Approach to Artificial Intelligence. ACM Comput. Surv. 28(4es): 14 (1996)

Chao-Lin Liu, Michael P. Wellman: On State-Space Abstraction for Anytime Evaluation of Bayesian Networks. SIGART Bulletin 7(2): 50-57 (1996)

David V. Pynadath, Michael P. Wellman: Generalized Queries on Probabilistic Context-Free Grammars. AAAI/IAAI, Vol. 2 1996: 1285-1290

David M. Pennock, Michael P. Wellman: Toward a Market Model for Bayesian Inference. UAI 1996: 405-413

Peter R. Wurman, Michael P. Wellman: Optimal Factory Scheduling using Stochastic Dominance A*. UAI 1996: 554-563

Michael P. Wellman: A computational market model for distributed configuration design. AI EDAM 9(2): 125-133 (1995)

David Heckerman, E. H. Mamdani, Michael P. Wellman: Real-World Applications of Bayesian Networks - Introduction. Commun. ACM 38(3): 24-26 (1995)

David Heckerman, Michael P. Wellman: Bayesian Networks. Commun. ACM 38(3): 27-30 (1995)

Michael P. Wellman: The Economic Approach to Artificial Intelligence. ACM Comput. Surv. 27(3): 360-362 (1995)

David Heckerman, E. H. Mamdani, Michael P. Wellman: Editorial: real-world applications of uncertain reasoning. Int. J. Hum.-Comput. Stud. 42(6): 573-574 (1995)

Tracy Mullen, Michael P. Wellman: Some Issues in the Design of Market-Oriented Agents. ATAL 1995: 283-298

Tracy Mullen, Michael P. Wellman: A Simple Computational Market for Network Information Services. ICMAS 1995: 283-289

Michael P. Wellman: Market-Oriented Programming (Abstract). SBIA 1995: 26-27

David V. Pynadath, Michael P. Wellman: Accounting for Context in Plan Recognition, with Application to Traffic Monitoring. UAI 1995: 472-481

Michael P. Wellman, Matthew Ford, Kenneth Larson: Path Planning under Time-Dependent Uncertainty. UAI 1995: 532-539

Michael P. Wellman: Kyburgian Acceptance: A Rejection, Hedged. Computational Intelligence 10: 103-106 (1994)

Michael P. Wellman: A Computational Market Model for Distributed Configuration Design. AAAI 1994: 401-407

Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman: The Automated Mapping of Plans for Plan Recognition. AAAI 1994: 1460

Michael P. Wellman: Some Varieties of Qualitative Probability. IPMU 1994: 171-179

Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman: The Automated Mapping of Plans for Plan Recognition. UAI 1994: 344-351

Michael P. Wellman, Chao-Lin Liu: State-Space Abstraction for Anytime Evaluation of Probabilistic Networks. UAI 1994: 567-574

Michael P. Wellman: A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems. J. Artif. Intell. Res. (JAIR) 1: 1-23 (1993)

Michael P. Wellman, Max Henrion: Explaining 'Explaining Away'. IEEE Trans. Pattern Anal. Mach. Intell. 15(3): 287-292 (1993)

Michael P. Wellman: A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems. CoRR cs.AI/9308102 (1993)

Michael P. Wellman: B. A. Huberman, ed., The Ecology of Computation. Artif. Intell. 52(2): 205-218 (1992)

Michael P. Wellman: Whither Qualitative Reasoning? A Response to Sacks and Doyle. Computational Intelligence 8: 277-280 (1992)

Michael P. Wellman: A General-Equilibrium Approach to Distributed Transportation Planning. AAAI 1992: 282-289

Didier Dubois, Michael P. Wellman (Eds.): UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, Stanford University, Stanford, CA, USA, July 17-19, 1992. Morgan Kaufmann 1992, isbn 1-55860-258-5

Jon Doyle, Michael P. Wellman: Impediments to Universal Preference-Based Default Theories. Artif. Intell. 49(1-3): 97-128 (1991)

Michael P. Wellman, Jon Doyle: Preferential Semantics for Goals. AAAI 1991: 698-703

Jon Doyle, Yoav Shoham, Michael P. Wellman: A Logic of Relative Desire (Preliminary Report). ISMIS 1991: 16-31

Michael P. Wellman, Max Henrion: Qualitative Intercausal Relations, or Explaining "Explaining Away". KR 1991: 535-546

Michael P. Wellman: Qualitative Simulation with Multivariate Constraints. KR 1991: 547-557

Michael P. Wellman: Fundamental Concepts of Qualitative Probabilistic Networks. Artif. Intell. 44(3): 257-303 (1990)

Michael P. Wellman: Graphical inference in qualitative probabilistic networks. Networks 20(5): 687-701 (1990)

Michael P. Wellman: The STRIPS Assumption for Planning Under Uncertainty. AAAI 1990: 198-203

Michael P. Wellman: Exploiting functional dependencies in qualitative probabilistic reasoning. UAI 1990: 3-16

Jon Doyle, Michael P. Wellman: Impediments to Universal Preference-Based Default Theories. KR 1989: 94-102

Michael P. Wellman: P. L. Miller, Expert Critiquing Systems: Practice-Based Medical Consultation by Computer. Artif. Intell. 35(2): 273-276 (1988)

Michael P. Wellman: The role of calculi in uncertain reasoning. Int. J. Approx. Reasoning 2(3): 344-345 (1988)

Michael P. Wellman, Reid G. Simmons: Mechanisms for Reasoning about Sets. AAAI 1988: 398-402

Michael P. Wellman: Probabilistic Semantics for Qualitative Influences. AAAI 1987: 662-664

Michael P. Wellman: Dominance and Subsumption in Constraint-Posting Planning. IJCAI 1987: 884-890

Michael P. Wellman: Qualitativce probabilistic networks for planning under uncertainty. UAI 1986: 197-208