Michael P. Wellman

314 papers A* 61A 52C 5Misc 2Journal 126Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computing Perfect Bayesian Equilibria, with Application to Empirical Game-Theoretic Analysis. CoRR Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2026	J	`jnl`	Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning. CoRR Austin A. Nguyen, Michael P. Wellman
2025	J	`jnl`	A game-theoretic approach for hierarchical epidemic control. Auton. Agents Multi Agent Syst. Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2025	A*	`conf`	Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. IJCAI Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025	J	`jnl`	Empirical Game Theoretic Analysis: A Survey. J. Artif. Intell. Res. Michael P. Wellman, Karl Tuyls, Amy Greenwald
2025	J	`jnl`	Evaluation Framework for AI Systems in "the Wild". CoRR Sarah Jabbour, Trenton Chang, Anindya Das Antar, Joseph Peper, Insu Jang, Jiachen Liu, Jae-Won Chung, Shiqi He, Michael P. Wellman, Bryan Goodman, Elizabeth Bondi-Kelly, Kevin Samy, Rada Mihalcea, Mosharaf Chowdhury, David Jurgens, Lu Wang
2025	A*	`conf`	Explicit Exploration for High-Welfare Equilibria in Game-Theoretic Multiagent Reinforcement Learning. ICML Austin A. Nguyen, Anri Gu, Michael P. Wellman
2025	A	`conf`	Learning Bayesian Game Families, with Application to Mechanism Design. AAMAS Madelyn Gatchel, Michael P. Wellman
2025	J	`jnl`	Learning Bayesian Game Families, with Application to Mechanism Design. CoRR Madelyn Gatchel, Michael P. Wellman
2025	—	`conf`	Market Selection with Midpoint Matching: A Strategic Agent-Based Analysis. ICAIF Gabriel Smithline, Anri Gu, Michael P. Wellman
2025	J	`jnl`	Multi-Agent Risks from Advanced AI. CoRR Lewis Hammond, Alan Chan, Jesse Clifton, Jason Hoelscher-Obermaier, Akbir Khan, Euan McLean, Chandler Smith, Wolfram Barfuss, Jakob N. Foerster, Tomas Gavenciak, The Anh Han, Edward Hughes, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan
2025	A	`conf`	Navigating in a Space of Game Views (extended abstract). AAMAS Michael P. Wellman, Katherine Mayo
2025	A	`conf`	Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO. AAMAS Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2025	J	`jnl`	Policy Abstraction and Nash Refinement in Tree-Exploiting PSRO. CoRR Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2024	—	`conf`	A Financial Market Simulation Environment for Trading Agents Using Deep Reinforcement Learning. ICAIF Chris Mascioli, Anri Gu, Yongzhao Wang, Mithun Chakraborty, Michael P. Wellman
2024	A*	`conf`	A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. IJCAI Zun Li, Michael P. Wellman
2024	J	`jnl`	A Meta-Game Evaluation Framework for Deep Multiagent Reinforcement Learning. CoRR Zun Li, Michael P. Wellman
2024	J	`jnl`	Co-Learning Empirical Games & World Models. RLJ Max Olan Smith, Michael P. Wellman
2024	J	`jnl`	Empirical Game-Theoretic Analysis: A Survey. CoRR Michael P. Wellman, Karl Tuyls, Amy Greenwald
2024	A*	`conf`	Fraud Risk Mitigation in Real-Time Payments: A Strategic Agent-Based Analysis. IJCAI Katherine Mayo, Nicholas Grabill, Michael P. Wellman
2024	A	`conf`	Generalized Response Objectives for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS Yongzhao Wang, Michael P. Wellman
2024	—	`conf`	Market Making with Learned Beta Policies. ICAIF Yongzhao Wang, Rahul Savani, Anri Gu, Chris Mascioli, Theodore L. Turocy, Michael P. Wellman
2024	J	`jnl`	Navigating in a space of game views. Auton. Agents Multi Agent Syst. Michael P. Wellman, Katherine Mayo
2024	—	`conf`	The Effect of Liquidity on the Spoofability of Financial Markets. ICAIF Anri Gu, Yongzhao Wang, Chris Mascioli, Mithun Chakraborty, Rahul Savani, Theodore L. Turocy, Michael P. Wellman
2023	J	`jnl`	Co-Learning Empirical Games and World Models. CoRR Max Olan Smith, Michael P. Wellman
2023	J	`jnl`	Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023	A	`conf`	Empirical Game-Theoretic Analysis for Mean Field Games. AAMAS Yongzhao Wang, Michael P. Wellman
2023	J	`jnl`	Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. CoRR Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2023	A	`conf`	Game Model Learning for Mean Field Games. AAMAS Yongzhao Wang, Michael P. Wellman
2023	—	`conf`	Learning to Manipulate a Financial Benchmark. ICAIF Megan Shearer, Gabriel Rauterberg, Michael P. Wellman
2023	J	`jnl`	Learning to play against any mixture of opponents. Frontiers Artif. Intell. Max Olan Smith, Thomas W. Anthony, Michael P. Wellman
2023	A	`conf`	Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS Yongzhao Wang, Michael P. Wellman
2023	J	`jnl`	Regularization for Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR Yongzhao Wang, Michael P. Wellman
2023	A	`conf`	Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2023	J	`jnl`	Strategic Knowledge Transfer. J. Mach. Learn. Res. Max Olan Smith, Thomas W. Anthony, Michael P. Wellman
2022	A	`conf`	Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. AAMAS Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman
2022	—	`conf`	Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis. WINE Christine Konicki, Mithun Chakraborty, Michael P. Wellman
2021	J	`jnl`	A Game-Theoretic Approach for Hierarchical Policy-Making. CoRR Feiran Jia, Aditya Mate, Zun Li, Shahin Jabbari, Mithun Chakraborty, Milind Tambe, Michael P. Wellman, Yevgeniy Vorobeychik
2021	A	`conf`	A Strategic Analysis of Portfolio Compression. AAMAS Katherine Mayo, Michael P. Wellman
2021	—	`conf`	A strategic analysis of portfolio compression. ICAIF Katherine Mayo, Michael P. Wellman
2021	—	`conf`	An agent-based model of strategic adoption of real-time payments. ICAIF Katherine Mayo, Shaily Fozdar, Michael P. Wellman
2021	C	`conf`	Building Action Sets in a Deep Reinforcement Learner. ICMLA Yongzhao Wang, Arunesh Sinha, Sky CH-Wang, Michael P. Wellman
2021	A*	`conf`	Designing a Combinatorial Financial Options Market. EC Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
2021	J	`jnl`	Designing a Combinatorial Financial Options Market. CoRR Xintong Wang, David M. Pennock, Nikhil R. Devanur, David M. Rothschild, Biaoshuai Tao, Michael P. Wellman
2021	J	`jnl`	Empirical Game-Theoretic Analysis in Mean Field Games. CoRR Yongzhao Wang, Michael P. Wellman
2021	J	`jnl`	Evaluating Strategy Exploration in Empirical Game-Theoretic Analysis. CoRR Yongzhao Wang, Gary Qiurui Ma, Michael P. Wellman
2021	A*	`conf`	Evolution Strategies for Approximate Solution of Bayesian Games. AAAI Zun Li, Michael P. Wellman
2021	A*	`conf`	Iterative Empirical Game Solving via Single Policy Best Response. ICLR Max Olan Smith, Thomas Anthony, Michael P. Wellman
2021	J	`jnl`	Iterative Empirical Game Solving via Single Policy Best Response. CoRR Max Olan Smith, Thomas Anthony, Michael P. Wellman
2021	J	`jnl`	Spoofing the Limit Order Book: A Strategic Agent-Based Analysis. Games Xintong Wang, Christopher Hoang, Yevgeniy Vorobeychik, Michael P. Wellman
2021	—	`conf`	Stability effects of arbitrage in exchange traded funds: an agent-based model. ICAIF Megan Shearer, David Byrd, Tucker Hybinette Balch, Michael P. Wellman
2020	—	`book`	Adaptive Autonomous Secure Cyber Systems. Sushil Jajodia, George Cybenko, V. S. Subrahmanian, Vipin Swarup, Cliff Wang, Michael P. Wellman
2020	A*	`conf`	Generating Realistic Stock Market Order Streams. AAAI Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Generating Realistic Stock Market Order Streams. CoRR Junyi Li, Xintong Wang, Yaoyang Lin, Arunesh Sinha, Michael P. Wellman
2020	J	`jnl`	Learning to Play against Any Mixture of Opponents. CoRR Max Olan Smith, Thomas Anthony, Yongzhao Wang, Michael P. Wellman
2020	—	`conf`	Learning-based trading strategies in the face of market manipulation. ICAIF Xintong Wang, Christopher Hoang, Michael P. Wellman
2020	A*	`conf`	Market Manipulation: An Adversarial Learning Framework for Detection and Evasion. IJCAI Xintong Wang, Michael P. Wellman
2020	J	`jnl`	Special issue on autonomous agents modelling other agents: Guest editorial. Artif. Intell. Stefano V. Albrecht, Peter Stone, Michael P. Wellman
2020	A*	`conf`	Structure Learning for Approximate Solution of Many-Player Games. AAAI Zun Li, Michael P. Wellman
2019	—	`book`	Adversarial and Uncertain Reasoning for Adaptive Cyber Defense - Control- and Game-Theoretic Approaches to Cyber Security Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Sushil Jajodia, George Cybenko, Peng Liu, Cliff Wang, Michael P. Wellman
2019	A*	`conf`	Cap-and-Trade Emissions Regulation: A Strategic Analysis. IJCAI Frank Cheng, Yagil Engel, Michael P. Wellman
2019	A*	`conf`	Deception in Finitely Repeated Security Games. AAAI Thanh Hong Nguyen, Yongzhao Wang, Arunesh Sinha, Michael P. Wellman
2019	—	`ch.`	Empirical Game-Theoretic Methods for Adaptive Cyber-Defense. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Michael P. Wellman, Thanh Hong Nguyen, Mason Wright
2019	—	`ch.`	Game Theoretic Approaches to Cyber Security: Challenges, Results, and Open Problems. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense Hamidreza Tavafoghi, Yi Ouyang, Demosthenis Teneketzis, Michael P. Wellman
2019	A	`conf`	Incentivizing Collaboration in a Competition. AAMAS Arunesh Sinha, Michael P. Wellman
2019	A*	`conf`	Iterated Deep Reinforcement Learning in Games: History-Aware Training for Improved Stability. EC Mason Wright, Yongzhao Wang, Michael P. Wellman
2019	J	`jnl`	Machine behaviour. Nat. Iyad Rahwan, Manuel Cebrián, Nick Obradovich, Josh C. Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex 'Sandy' Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael P. Wellman
2019	—	`ch.`	Overview of Control and Game Theory in Adaptive Cyber Defenses. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense George Cybenko, Michael P. Wellman, Peng Liu, Minghui Zhu
2018	A*	`conf`	A Cloaking Mechanism to Mitigate Market Manipulation. IJCAI Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman
2018	A*	`conf`	A Regression Approach for Modeling Games With Many Symmetric Players. AAAI Bryce Wiedenbeck, Fengjun Yang, Michael P. Wellman
2018	—	`conf`	Deceitful Attacks in Security Games. AAAI Workshops Thanh Hong Nguyen, Michael P. Wellman, Arunesh Sinha
2018	A	`conf`	Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions. AAMAS Mason Wright, Michael P. Wellman
2018	—	`conf`	Evaluating the Stability of Non-Adaptive Trading in Continuous Double Auctions: A Reinforcement Learning Approach. AAAI Workshops Mason Wright, Michael P. Wellman
2018	—	`conf`	Incentivizing Rider Time-Shift in a Multi-Leg Public Transportation System. ATT@IJCAI Megan Shearer, Michael P. Wellman
2018	J	`jnl`	Multistage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. Secur. Commun. Networks Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh
2018	A	`conf`	SoK: Security and Privacy in Machine Learning. EuroS&P Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
2017	—	`conf`	A Stackelberg Game Model for Botnet Data Exfiltration. GameSec Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh
2017	—	`conf`	A Stackelberg Game Model for Botnet Traffic Exfiltration. AAAI Workshops Thanh Hong Nguyen, Michael P. Wellman, Satinder Singh
2017	A*	`conf`	Accounting for Strategic Response in an Agent-Based Model of Financial Regulation. EC Frank Cheng, Michael P. Wellman
2017	A*	`conf`	Empirical Mechanism Design for Optimizing Clearing Interval in Frequent Call Markets. EC Erik Brinkman, Michael P. Wellman
2017	J	`jnl`	Ethical Issues for Autonomous Trading Agents. Minds Mach. Michael P. Wellman, Uday Rajan
2017	—	`conf`	Multi-Stage Attack Graph Security Games: Heuristic Strategies, with Empirical Game-Theoretic Analysis. MTD@CCS Thanh Hong Nguyen, Mason Wright, Michael P. Wellman, Satinder Singh
2017	J	`jnl`	Self-confirming price-prediction strategies for simultaneous one-shot auctions. Games Econ. Behav. Michael P. Wellman, Eric Sodomka, Amy Greenwald
2017	A	`conf`	Spoofing the Limit Order Book: An Agent-Based Model. AAMAS Xintong Wang, Michael P. Wellman
2017	J	`jnl`	Welfare Effects of Market Making in Continuous Double Auctions. J. Artif. Intell. Res. Elaine Wah, Mason Wright, Michael P. Wellman
2016	A	`conf`	Gradient Methods for Stackelberg Games. UAI Kareem Amin, Michael P. Wellman, Satinder Singh
2016	J	`jnl`	Introduction to the special issue on autonomous agents for agent-based modeling. Auton. Agents Multi Agent Syst. Virginia Dignum, Nigel Gilbert, Michael P. Wellman
2016	J	`jnl`	Latency arbitrage in fragmented markets: A strategic agent-based analysis. Algorithmic Finance Elaine Wah, Michael P. Wellman
2016	—	`conf`	Moving Target Defense against DDoS Attacks: An Empirical Game-Theoretic Analysis. MTD@CCS Mason Wright, Sridhar Venkatesan, Massimiliano Albanese, Michael P. Wellman
2016	A*	`ed.`	Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. AAAI Dale Schuurmans, Michael P. Wellman
2016	J	`jnl`	Putting the agent in agent-based modeling. Auton. Agents Multi Agent Syst. Michael P. Wellman
2016	J	`jnl`	Strategic Market Choice: Frequent Call Markets vs. Continuous Double Auctions for Fast and Slow Traders. EAI Endorsed Trans. Serious Games Elaine Wah, Dylan Hurd, Michael P. Wellman
2016	A*	`conf`	Strategic Payment Routing in Financial Credit Networks. EC Frank Cheng, Junming Liu, Kareem Amin, Michael P. Wellman
2016	J	`jnl`	Towards the Science of Security and Privacy in Machine Learning. CoRR Nicolas Papernot, Patrick D. McDaniel, Arunesh Sinha, Michael P. Wellman
2016	A*	`conf`	Welfare Effects of Market Making in Continuous Double Auctions: Extended Abstract. IJCAI Elaine Wah, Mason Wright, Michael P. Wellman
2015	—	`conf`	Empirical Game-Theoretic Analysis for Moving Target Defense. MTD@CCS Achintya Prakash, Michael P. Wellman
2015	A	`conf`	Learning Payoffs in Large Symmetric Games. AAMAS Bryce Wiedenbeck, Michael P. Wellman
2015	J	`jnl`	Strategic Formation of Credit Networks. ACM Trans. Internet Techn. Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck
2015	A	`conf`	Welfare Effects of Market Making in Continuous Double Auctions. AAMAS Elaine Wah, Michael P. Wellman
2014	Misc	`conf`	Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Building the Scientific Foundation. ICISS George Cybenko, Sushil Jajodia, Michael P. Wellman, Peng Liu
2014	A	`conf`	Bootstrap statistics for empirical games. AAMAS Bryce Wiedenbeck, Ben-Alexander Cassell, Michael P. Wellman
2014	A*	`conf`	Characterizing strategic cascades on networks. EC Travis Martin, Grant Schoenebeck, Michael P. Wellman
2014	—	`conf`	Database Modeling of Empirical Games. DSMM Ben-Alexander Cassell, Michael P. Wellman
2014	—	`conf`	Empirical Game-Theoretic Analysis of an Adaptive Cyber-Defense Scenario (Preliminary Report). GameSec Michael P. Wellman, Achintya Prakash
2014	J	`jnl`	Multiattribute Auctions Based on Generalized Additive Independence. CoRR Yagil Engel, Michael P. Wellman
2014	A	`conf`	Signal structure and strategic information acquisition: deliberative auctions with interdependent values. AAMAS Erik Brinkman, Michael P. Wellman, Scott E. Page
2013	J	`jnl`	Accounting for Context in Plan Recognition, with Application to Traffic Monitoring CoRR David V. Pynadath, Michael P. Wellman
2013	—	`conf`	Accounting for Price Dependencies in Simultaneous Sealed-Bid Auctions. AAAI Workshop: Trading Agent Design and Analysis Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
2013	A*	`conf`	Accounting for price dependencies in simultaneous sealed-bid auctions. EC Brandon A. Mayer, Eric Sodomka, Amy Greenwald, Michael P. Wellman
2013	J	`jnl`	Analyzing Incentives for Protocol Compliance in Complex Domains: A Case Study of Introduction-Based Routing. CoRR Michael P. Wellman, Tae Hyung Kim, Quang Duong
2013	J	`jnl`	Characterizing Strategic Cascades on Networks. CoRR Travis Martin, Grant Schoenebeck, Michael P. Wellman
2013	J	`jnl`	Compact Securities Markets for Pareto Optimal Reallocation of Risk CoRR David M. Pennock, Michael P. Wellman
2013	J	`jnl`	Exploiting Functional Dependencies in Qualitative Probabilistic Reasoning CoRR Michael P. Wellman
2013	J	`jnl`	Graphical Representations of Consensus Belief CoRR David M. Pennock, Michael P. Wellman
2013	J	`jnl`	Incremental Tradeoff Resolution in Qualitative Probabilistic Networks CoRR Chao-Lin Liu, Michael P. Wellman
2013	A*	`conf`	Latency arbitrage, market fragmentation, and efficiency: a two-market model. EC Elaine Wah, Michael P. Wellman
2013	J	`jnl`	Optimal Factory Scheduling using Stochastic Dominance A* CoRR Peter R. Wurman, Michael P. Wellman
2013	J	`jnl`	Path Planning under Time-Dependent Uncertainty CoRR Michael P. Wellman, Matthew Ford, Kenneth Larson
2013	J	`jnl`	Probabilistic State-Dependent Grammars for Plan Recognition CoRR David V. Pynadath, Michael P. Wellman
2013	J	`jnl`	Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (1992) CoRR Bruce D'Ambrosio, Didier Dubois, Philippe Smets, Michael P. Wellman
2013	J	`jnl`	Qualitative Probabilistic Networks for Planning Under Uncertainty CoRR Michael P. Wellman
2013	J	`jnl`	Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market CoRR David M. Pennock, Michael P. Wellman
2013	J	`jnl`	State-space Abstraction for Anytime Evaluation of Probabilistic Networks CoRR Michael P. Wellman, Chao-Lin Liu
2013	J	`jnl`	The Automated Mapping of Plans for Plan Recognition CoRR Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman
2013	J	`jnl`	The Role of Calculi in Uncertain Inference Systems CoRR Michael P. Wellman, David Heckerman
2013	J	`jnl`	Toward a Market Model for Bayesian Inference CoRR David M. Pennock, Michael P. Wellman
2013	J	`jnl`	Using Qualitative Relationships for Bounding Probability Distributions CoRR Chao-Lin Liu, Michael P. Wellman
2012	—	`conf`	An empirical game-theoretic analysis of credit network formation. Allerton Conference Michael P. Wellman, Bryce Wiedenbeck
2012	J	`jnl`	Asset pricing under ambiguous information: an empirical game-theoretic analysis. Comput. Math. Organ. Theory Ben-Alexander Cassell, Michael P. Wellman
2012	J	`jnl`	Computing Best-Response Strategies in Infinite Games of Incomplete Information CoRR Daniel M. Reeves, Michael P. Wellman
2012	J	`jnl`	Constrained Automated Mechanism Design for Infinite Games of Incomplete Information CoRR Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman
2012	J	`jnl`	Constrained automated mechanism design for infinite games of incomplete information. Auton. Agents Multi Agent Syst. Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman
2012	C	`conf`	EGTAOnline: An Experiment Manager for Simulation-Based Game Studies. MABS Ben-Alexander Cassell, Michael P. Wellman
2012	J	`jnl`	Knowledge Combination in Graphical Multiagent Model CoRR Quang Duong, Michael P. Wellman, Satinder Singh
2012	A	`conf`	Learning and predicting dynamic networked behavior with graphical multiagent models. AAMAS Quang Duong, Michael P. Wellman, Satinder Singh, Michael J. Kearns
2012	A	`conf`	Scaling simulation-based game analysis through deviation-preserving reduction. AAMAS Bryce Wiedenbeck, Michael P. Wellman
2012	J	`jnl`	Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions CoRR Michael P. Wellman, Eric Sodomka, Amy Greenwald
2012	A	`conf`	Self-Confirming Price Prediction Strategies for Simultaneous One-Shot Auctions. UAI Michael P. Wellman, Eric Sodomka, Amy Greenwald
2012	J	`jnl`	Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions CoRR Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason
2012	A*	`conf`	Strategic formation of credit networks. WWW Pranav Dandekar, Ashish Goel, Michael P. Wellman, Bryce Wiedenbeck
2012	J	`jnl`	The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information CoRR Michael P. Wellman, Lu Hong, Scott E. Page
2011	—	`conf`	Agent-based analysis of asset pricing under ambiguous information. SpringSim (ADS) Ben-Alexander Cassell, Michael P. Wellman
2011	J	`jnl`	Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis CoRR William E. Walsh, Michael P. Wellman
2011	—	`conf`	Incentivizing Responsible Networking via Introduction-Based Routing. TRUST Gregory Frazier, Quang Duong, Michael P. Wellman, Edward Petersen
2011	—	`conf`	Modeling Information Diffusion in Networks with Unobserved Links. SocialCom/PASSAT Quang Duong, Michael P. Wellman, Satinder Singh
2011	J	`jnl`	Price Prediction in a Trading Agent Competition CoRR Kevin M. Lochner, Daniel M. Reeves, Yevgeniy Vorobeychik, Michael P. Wellman
2011	A	`conf`	The Structure of Signals: Causal Interdependence Models for Games of Incomplete Information. UAI Michael P. Wellman, Lu Hong, Scott E. Page
2011	—	`book`	Trading Agents Michael P. Wellman
2010	C	`conf`	A Categorization of KR&R Methods for Requirement Analysis of a Query Answering Knowledge Base. FOIS Vinay K. Chaudhri, Bert Bredeweg, Richard Fikes, Sheila A. McIlraith, Michael P. Wellman
2010	J	`jnl`	AI Theory and Practice: A Discussion on Hard Challenges and Opportunities Ahead. AI Mag. Eric Horvitz, Lise Getoor, Carlos Guestrin, James A. Hendler, Joseph A. Konstan, Devika Subramanian, Michael P. Wellman, Henry A. Kautz
2010	A	`conf`	Agent-based analysis of asset pricing under ambiguous information. AAMAS Ben-Alexander Cassell, Michael P. Wellman
2010	A*	`conf`	Algorithms for Finding Approximate Formations in Games. AAAI Patrick R. Jordan, Michael P. Wellman
2010	J	`jnl`	Exceptional Data Quality using Intelligent Matching and Retrieval. AI Mag. Clint R. Bidlack, Michael P. Wellman
2010	A	`conf`	History-dependent graphical multiagent models. AAMAS Quang Duong, Michael P. Wellman, Satinder Singh, Yevgeniy Vorobeychik
2010	J	`jnl`	Multiattribute Auctions Based on Generalized Additive Independence. J. Artif. Intell. Res. Yagil Engel, Michael P. Wellman
2010	J	`jnl`	Strategic Modeling of Information Sharing among Data Privacy Attackers. Informatica (Slovenia) Quang Duong, Kristen LeFevre, Michael P. Wellman
2010	A*	`conf`	Strategy and mechanism lessons from the first ad auctions trading agent competition. EC Patrick R. Jordan, Michael P. Wellman, Guha Balakrishnan
2010	A	`conf`	Strategy exploration in empirical games. AAMAS Patrick R. Jordan, L. Julian Schvartzman, Michael P. Wellman
2009	—	`conf`	Computing Utility from Weighted Description Logic Preference Formulas. DALT Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman
2009	—	`conf`	Designing an Ad Auctions Game for the Trading Agent Competition. AMEC/TADA Patrick R. Jordan, Michael P. Wellman
2009	J	`jnl`	Forecasting market prices in a supply chain game. Electron. Commer. Res. Appl. Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Lee F. Callender, Michael P. Wellman
2009	—	`conf`	Generalization risk minimization in empirical game models. AAMAS (1) Patrick R. Jordan, Michael P. Wellman
2009	—	`conf`	Information Feedback and Efficiency in Multiattribute Double Auctions. AMMA Kevin M. Lochner, Michael P. Wellman
2009	A*	`conf`	Learning Graphical Game Models. IJCAI Quang Duong, Yevgeniy Vorobeychik, Satinder Singh, Michael P. Wellman
2009	—	`conf`	Learning Improved Entertainment Trading Strategies for the TAC Travel Game. AMEC/TADA L. Julian Schvartzman, Michael P. Wellman
2009	Misc	`conf`	Strategic Analysis with Simulation-based Games. WSC Yevgeniy Vorobeychik, Michael P. Wellman
2009	—	`conf`	Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learning. AAMAS (1) L. Julian Schvartzman, Michael P. Wellman
2009	—	`conf`	Weighted Description Logics Preference Formulas for Multiattribute Negotiation. SUM Azzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman
2008	J	`jnl`	Book announcement: autonomous bidding agents. SIGecom Exch. Michael P. Wellman, Amy Greenwald, Peter Stone
2008	J	`jnl`	CUI Networks: A Graphical Representation for Conditional Utility Independence. J. Artif. Intell. Res. Yagil Engel, Michael P. Wellman
2008	A	`conf`	Knowledge Combination in Graphical Multiagent Models. UAI Quang Duong, Michael P. Wellman, Satinder Singh
2008	—	`conf`	Searching for approximate equilibria in empirical games. AAMAS (2) Patrick R. Jordan, Yevgeniy Vorobeychik, Michael P. Wellman
2008	—	`conf`	Selecting strategies using empirical game models: an experimental analysis of meta-strategies. AAMAS (2) Christopher Kiekintveld, Michael P. Wellman
2008	—	`conf`	Stochastic search methods for nash equilibrium approximation in simulation-based games. AAMAS (2) Yevgeniy Vorobeychik, Michael P. Wellman
2007	J	`jnl`	AAAI-07 Workshop Reports. AI Mag. 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
2007	—	`book`	Autonomous bidding agents - strategies and lessons from the trading agent competition. Michael P. Wellman, Amy Greenwald, Peter Stone
2007	A	`conf`	Constrained Automated Mechanism Design for Infinite Games of Incomplete Information. UAI Yevgeniy Vorobeychik, Daniel M. Reeves, Michael P. Wellman
2007	A	`conf`	Constraint satisfaction algorithms for graphical games. AAMAS Vishal Soni, Satinder Singh, Michael P. Wellman
2007	A	`conf`	Empirical game-theoretic analysis of the TAC Supply Chain game. AAMAS Patrick R. Jordan, Christopher Kiekintveld, Michael P. Wellman
2007	A	`conf`	Forecasting market prices in a supply chain game. AAMAS Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman
2007	J	`jnl`	Foundations of multi-agent learning: Introduction to the special issue. Artif. Intell. Rakesh V. Vohra, Michael P. Wellman
2007	A*	`conf`	Generalized value decomposition and structured multiattribute auctions. EC Yagil Engel, Michael P. Wellman
2007	A*	`conf`	Iterated Weaker-than-Weak Dominance. IJCAI Shih-Fen Cheng, Michael P. Wellman
2007	J	`jnl`	Learning payoff functions in infinite games. Mach. Learn. Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh
2006	A	`ed.`	5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), Hakodate, Japan, May 8-12, 2006 AAMAS Hideyuki Nakashima, Michael P. Wellman, Gerhard Weiss, Peter Stone
2006	A*	`conf`	Bid expressiveness and clearing algorithms in multiattribute double auctions. EC Yagil Engel, Michael P. Wellman, Kevin M. Lochner
2006	A*	`conf`	CUI Networks: A Graphical Representation for Conditional Utility Independence. AAAI Yagil Engel, Michael P. Wellman
2006	A*	`conf`	Controlling a supply chain agent using value-based decomposition. EC Christopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman
2006	A*	`conf`	Empirical mechanism design: methods, with application to a supply-chain scenario. EC Yevgeniy Vorobeychik, Christopher Kiekintveld, Michael P. Wellman
2006	—	`conf`	Market Efficiency, Sales Competition, and the Bullwhip Effect in the TAC SCM Tournaments. TADA/AMEC Patrick R. Jordan, Christopher Kiekintveld, Jason Miller, Michael P. Wellman
2006	A*	`conf`	Methods for Empirical Game-Theoretic Analysis. AAAI Michael P. Wellman
2005	—	`conf`	An Analysis of the 2004 Supply Chain Management Trading Agent Competition. AMEC@AAMAS/TADA@IJCAI Christopher Kiekintveld, Yevgeniy Vorobeychik, Michael P. Wellman
2005	A*	`conf`	Approximate Strategic Reasoning through Hierarchical Reduction of Large Symmetric Games. AAAI Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Shih-Fen Cheng, Rahul Suri
2005	J	`jnl`	Betting Boolean-style: a framework for trading in securities based on logical formulas. Decis. Support Syst. Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman
2005	J	`jnl`	Exploring bidding strategies for market-based scheduling. Decis. Support Syst. Daniel M. Reeves, Michael P. Wellman, Jeffrey K. MacKie-Mason, Anna Osepayshvili
2005	J	`jnl`	Graphical Models for Groups: Belief Aggregation and Risk Sharing. Decis. Anal. David M. Pennock, Michael P. Wellman
2005	A*	`conf`	Learning Payoff Functions in Infinite Games. IJCAI Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh
2005	—	`conf`	Market-Based Allocation with Indivisible Bids. AMEC@AAMAS/TADA@IJCAI L. Julian Schvartzman, Michael P. Wellman
2005	—	`conf`	Searching for Walverine 2005. AMEC@AAMAS/TADA@IJCAI Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Rahul Suri
2005	—	`conf`	Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. Computing and Markets Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason
2005	A	`conf`	Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions. UAI Anna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason
2005	J	`jnl`	Strategic Interactions in a Supply Chain Game. Comput. Intell. Michael P. Wellman, Joshua Estelle, Satinder Singh, Yevgeniy Vorobeychik, Christopher Kiekintveld, Vishal Soni
2005	J	`jnl`	Walverine: a Walrasian trading agent. Decis. Support Syst. Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman
2004	J	`jnl`	Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applications. Int. J. Approx. Reason. Chao-Lin Liu, Michael P. Wellman
2004	A	`conf`	Computing Best-Response Strategies in Infinite Games of Incomplete Information. UAI Daniel M. Reeves, Michael P. Wellman
2004	A*	`conf`	Computing approximate bayes-nash equilibria in tree-games of incomplete information. EC Satinder Singh, Vishal Soni, Michael P. Wellman
2004	A*	`conf`	Distributed Feedback Control for Decision Making on Supply Chains. ICAPS Christopher Kiekintveld, Michael P. Wellman, Satinder Singh, Joshua Estelle, Yevgeniy Vorobeychik, Vishal Soni, Matthew R. Rudary
2004	J	`jnl`	Introduction to the Special Issue: Matching Buyers and Sellers for e-Commerce. Int. J. Electron. Commer. Michael P. Wellman, John Riedl
2004	—	`conf`	Learning Payoff Functions in Infinite Games. AAAI Technical Report (2) Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh
2004	—	`ch.`	Online Marketplaces. The Practical Handbook of Internet Computing Michael P. Wellman
2004	A*	`conf`	Price Prediction Strategies for Market-Based Scheduling. ICAPS Jeffrey K. MacKie-Mason, Anna Osepayshvili, Daniel M. Reeves, Michael P. Wellman
2004	J	`jnl`	Price Prediction in a Trading Agent Competition. J. Artif. Intell. Res. Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik
2004	A	`conf`	Rule-Based Specification of Auction Mechanisms. AAMAS Kevin M. Lochner, Michael P. Wellman
2004	—	`conf`	Strategic Interactions in the TAC 2003 Supply Chain Tournament. Computers and Games Joshua Estelle, Yevgeniy Vorobeychik, Michael P. Wellman, Satinder Singh, Christopher Kiekintveld, Vishal Soni
2004	J	`jnl`	Value-driven procurement in the TAC supply chain game. SIGecom Exch. Christopher Kiekintveld, Michael P. Wellman, Satinder Singh, Vishal Soni
2003	A*	`conf`	Betting boolean-style: a framework for trading in securities based on logical formulas. EC Lance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman
2003	J	`jnl`	Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium Analysis. J. Artif. Intell. Res. William E. Walsh, Michael P. Wellman
2003	A*	`conf`	Exploring bidding strategies for market-based scheduling. EC Michael P. Wellman, Jeffrey K. MacKie-Mason, Daniel M. Reeves, Sowmya Swaminathan
2003	J	`jnl`	Letter from the new chair. SIGecom Exch. Michael P. Wellman, Daniel A. Menascé, Peter R. Wurman
2003	—	`conf`	Market-Based Resource Allocation for Information-Collection Scenarios. MAMUS Shih-Fen Cheng, Michael P. Wellman, Dennis G. Perry
2003	J	`jnl`	Nash Q-Learning for General-Sum Stochastic Games. J. Mach. Learn. Res. Junling Hu, Michael P. Wellman
2003	J	`jnl`	On market-inspired approaches to propositional satisfiability. Artif. Intell. William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman
2003	A*	`conf`	Price prediction in a trading agent competition (extended abstract). EC Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner
2003	J	`jnl`	The 2001 Trading Agent Competition. Electron. Mark. Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2003	J	`jnl`	Trading Agents Competing: Performance, Progress, and Market Effectiveness. IEEE Intell. Syst. Michael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, Kevin M. Lochner
2003	A	`conf`	Walverine: a Walrasian trading agent. AAMAS Shih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O'Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman
2002	J	`jnl`	Automated Negotiation from Declarative Contract Descriptions. Comput. Intell. Daniel M. Reeves, Michael P. Wellman, Benjamin N. Grosof
2002	J	`jnl`	Evaluation of Bayesian networks with flexible state-space abstraction methods. Int. J. Approx. Reason. Chao-Lin Liu, Michael P. Wellman
2002	J	`jnl`	Specifying Rules for Electronic Auctions. AI Mag. Peter R. Wurman, Michael P. Wellman, William E. Walsh
2002	—	`conf`	The 2001 Trading Agent Competition. AAAI/IAAI Michael P. Wellman, Amy Greenwald, Peter Stone, Peter R. Wurman
2001	J	`jnl`	A Parametrization of the Auction Design Space. Games Econ. Behav. Peter R. Wurman, Michael P. Wellman, William E. Walsh
2001	J	`jnl`	Auction Protocols for Decentralized Scheduling. Games Econ. Behav. Michael P. Wellman, William E. Walsh, Peter R. Wurman, Jeffrey K. MacKie-Mason
2001	—	`conf`	Automated negotiation from declarative contract descriptions. Agents Daniel M. Reeves, Michael P. Wellman, Benjamin N. Grosof
2001	J	`jnl`	Designing the Market Game for a Trading Agent Competition. IEEE Internet Comput. Michael P. Wellman, Peter R. Wurman, Kevin O'Malley, Roshan Bangera, Shou-De Lin, Daniel M. Reeves, William E. Walsh
2001	J	`jnl`	Erratum to "Learning about other agents in a dynamic multiagent system": [Cognitive Systems Research 2 (2001) 67-79] Cogn. Syst. Res. Junling Hu, Michael P. Wellman
2001	J	`jnl`	Learning about other agents in a dynamic multiagent system. Cogn. Syst. Res. Junling Hu, Michael P. Wellman
2001	A*	`conf`	On Market-Inspired Approaches to Propositional Satisfiability. IJCAI William E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman
2001	A*	`ed.`	Proceedings 3rd ACM Conference on Electronic Commerce (EC-2001), Tampa, Florida, USA, October 14-17, 2001 EC Michael P. Wellman, Yoav Shoham
2000	A*	`conf`	A EC Peter R. Wurman, Michael P. Wellman
2000	A*	`conf`	Combinatorial auctions for supply chain formation. EC William E. Walsh, Michael P. Wellman, Fredrik Ygge
2000	A	`conf`	Compact Securities Markets for Pareto Optimal Reallocation of Risk. UAI David M. Pennock, Michael P. Wellman
2000	—	`conf`	Distributed Quiescence Detection in Multiagent Negotiation. ICMAS Michael P. Wellman, William E. Walsh
2000	A*	`conf`	Experimental Results on Q-Learning for General-Sum Stochastic Games. ICML Junling Hu, Michael P. Wellman
2000	—	`conf`	MarketSAT: An Extremely Decentralized (but Really Slow) Algorithm for Propositional Satisfiability. AAAI/IAAI William E. Walsh, Michael P. Wellman
2000	A	`conf`	Probabilistic State-Dependent Grammars for Plan Recognition. UAI David V. Pynadath, Michael P. Wellman
1999	—	`conf`	Agents and Electronic Commerce: Mechanisms and Protocols (Abstract). CIA Michael P. Wellman
1999	A*	`conf`	Efficiency and Equilibrium in Task Allocation Economies with Hierarchical Dependencies. IJCAI William E. Walsh, Michael P. Wellman
1999	A	`conf`	Graphical Representations of Consensus Belief. UAI David M. Pennock, Michael P. Wellman
1999	J	`jnl`	JAIR at Five. AI Mag. Steven Minton, Michael P. Wellman
1999	—	`conf`	Modeling Supply Chain Formation in Multiagent Systems. Agent Mediated Electronic Commerce (IJCAI Workshop) William E. Walsh, Michael P. Wellman
1999	A*	`ed.`	Proceedings of the First ACM Conference on Electronic Commerce (EC-99), Denver, CO, USA, November 3-5, 1999 EC Stuart I. Feldman, Michael P. Wellman
1998	—	`conf`	A Market Protocol for Decentralized Task Allocation. ICMAS William E. Walsh, Michael P. Wellman
1998	J	`jnl`	Conjectural Equilibrium in Multiagent Learning. Mach. Learn. Michael P. Wellman, Junling Hu
1998	J	`jnl`	Flexible double auctions for electronic commerce: theory and implementation. Decis. Support Syst. Peter R. Wurman, William E. Walsh, Michael P. Wellman
1998	J	`jnl`	Generalized Queries on Probabilistic Context-Free Grammars. IEEE Trans. Pattern Anal. Mach. Intell. David V. Pynadath, Michael P. Wellman
1998	A	`conf`	Incremental Tradeoff Resolution in Qualitative Probabilistic Networks. UAI Chao-Lin Liu, Michael P. Wellman
1998	J	`jnl`	Market-aware agents for a multiagent world. Robotics Auton. Syst. Michael P. Wellman, Peter R. Wurman
1998	A*	`conf`	Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. ICML Junling Hu, Michael P. Wellman
1998	—	`conf`	Online Learning about Other Agents in a Dynamic Multiagent System. Agents Junling Hu, Michael P. Wellman
1998	A	`conf`	Some Economics of Market-Based Distributed Scheduling. ICDCS William E. Walsh, Michael P. Wellman, Peter R. Wurman, Jeffrey K. MacKie-Mason
1998	—	`conf`	The Auction Manager: Market Middleware for Large-Scale Electronic Commerce. USENIX Workshop on Electronic Commerce Tracy Mullen, Michael P. Wellman
1998	—	`conf`	The Michigan Internet AcutionBot: A Configuarable Auction Server for Human and Software Agents. Agents Peter R. Wurman, Michael P. Wellman, William E. Walsh
1998	A	`conf`	Using Qualitative Relationships for Bounding Probability Distributions. UAI Chao-Lin Liu, Michael P. Wellman
1997	J	`jnl`	Economic Principles of Multi-Agent Systems. Artif. Intell. Craig Boutilier, Yoav Shoham, Michael P. Wellman
1997	—	`conf`	Market-Aware Agents for a Multiagent World. MAAMAW Michael P. Wellman
1997	—	`conf`	Market-Oriented Programming (Abstract). AAAI/IAAI Michael P. Wellman
1997	A	`conf`	Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market. UAI David M. Pennock, Michael P. Wellman
1996	—	`conf`	Generalized Queries on Probabilistic Context-Free Grammars. AAAI/IAAI, Vol. 2 David V. Pynadath, Michael P. Wellman
1996	J	`jnl`	On State-Space Abstraction for Anytime Evaluation of Bayesian Networks. SIGART Bull. Chao-Lin Liu, Michael P. Wellman
1996	A	`conf`	Optimal Factory Scheduling using Stochastic Dominance A*. UAI Peter R. Wurman, Michael P. Wellman
1996	J	`jnl`	The Economic Approach to Artificial Intelligence. ACM Comput. Surv. Michael P. Wellman
1996	J	`jnl`	Toward Inquiry-Based Education Through Interacting Software Agents. Computer 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
1996	A	`conf`	Toward a Market Model for Bayesian Inference. UAI David M. Pennock, Michael P. Wellman
1995	—	`conf`	A Simple Computational Market for Network Information Services. ICMAS Tracy Mullen, Michael P. Wellman
1995	J	`jnl`	A computational market model for distributed configuration design. Artif. Intell. Eng. Des. Anal. Manuf. Michael P. Wellman
1995	A	`conf`	Accounting for Context in Plan Recognition, with Application to Traffic Monitoring. UAI David V. Pynadath, Michael P. Wellman
1995	J	`jnl`	Bayesian Networks. Commun. ACM David Heckerman, Michael P. Wellman
1995	J	`jnl`	Editorial: real-world applications of uncertain reasoning. Int. J. Hum. Comput. Stud. David Heckerman, E. H. Mamdani, Michael P. Wellman
1995	—	`conf`	Market-Oriented Programming (Abstract). SBIA Michael P. Wellman
1995	A	`conf`	Path Planning under Time-Dependent Uncertainty. UAI Michael P. Wellman, Matthew Ford, Kenneth Larson
1995	J	`jnl`	Real-World Applications of Bayesian Networks - Introduction. Commun. ACM David Heckerman, E. H. Mamdani, Michael P. Wellman
1995	—	`conf`	Some Issues in the Design of Market-Oriented Agents. ATAL Tracy Mullen, Michael P. Wellman
1995	J	`jnl`	The Economic Approach to Artificial Intelligence. ACM Comput. Surv. Michael P. Wellman
1994	A*	`conf`	A Computational Market Model for Distributed Configuration Design. AAAI Michael P. Wellman
1994	J	`jnl`	Kyburgian Acceptance: A Rejection, Hedged. Comput. Intell. Michael P. Wellman
1994	C	`conf`	Some Varieties of Qualitative Probability. IPMU Michael P. Wellman
1994	A	`conf`	State-Space Abstraction for Anytime Evaluation of Probabilistic Networks. UAI Michael P. Wellman, Chao-Lin Liu
1994	A*	`conf`	The Automated Mapping of Plans for Plan Recognition. AAAI Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman
1994	A	`conf`	The Automated Mapping of Plans for Plan Recognition. UAI Marcus J. Huber, Edmund H. Durfee, Michael P. Wellman
1993	J	`jnl`	A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems CoRR Michael P. Wellman
1993	J	`jnl`	A Market-Oriented Programming Environment and its Application to Distributed Multicommodity Flow Problems. J. Artif. Intell. Res. Michael P. Wellman
1993	J	`jnl`	Explaining 'Explaining Away'. IEEE Trans. Pattern Anal. Mach. Intell. Michael P. Wellman, Max Henrion
1992	A*	`conf`	A General-Equilibrium Approach to Distributed Transportation Planning. AAAI Michael P. Wellman
1992	J	`jnl`	B. A. Huberman, ed., The Ecology of Computation. Artif. Intell. Michael P. Wellman
1992	J	`jnl`	From knowledge bases to decision models. Knowl. Eng. Rev. Michael P. Wellman, John S. Breese, Robert P. Goldman
1992	A	`ed.`	UAI '92: Proceedings of the Eighth Annual Conference on Uncertainty in Artificial Intelligence, Stanford University, Stanford, CA, USA, July 17-19, 1992 UAI Didier Dubois, Michael P. Wellman
1992	J	`jnl`	Whither Qualitative Reasoning? A Response to Sacks and Doyle. Comput. Intell. Michael P. Wellman
1991	C	`conf`	A Logic of Relative Desire (Preliminary Report). ISMIS Jon Doyle, Yoav Shoham, Michael P. Wellman
1991	J	`jnl`	Impediments to Universal Preference-Based Default Theories. Artif. Intell. Jon Doyle, Michael P. Wellman
1991	A*	`conf`	Preferential Semantics for Goals. AAAI Michael P. Wellman, Jon Doyle
1991	A*	`conf`	Qualitative Intercausal Relations, or Explaining "Explaining Away". KR Michael P. Wellman, Max Henrion
1991	A*	`conf`	Qualitative Simulation with Multivariate Constraints. KR Michael P. Wellman
1990	A	`conf`	Exploiting functional dependencies in qualitative probabilistic reasoning. UAI Michael P. Wellman
1990	J	`jnl`	Fundamental Concepts of Qualitative Probabilistic Networks. Artif. Intell. Michael P. Wellman
1990	J	`jnl`	Graphical inference in qualitative probabilistic networks. Networks Michael P. Wellman
1990	A*	`conf`	The STRIPS Assumption for Planning Under Uncertainty. AAAI Michael P. Wellman
1989	A*	`conf`	Impediments to Universal Preference-Based Default Theories. KR Jon Doyle, Michael P. Wellman
1988	—	`—`	Formulation of tradeoffs in planning under uncertainty. Michael P. Wellman
1988	A*	`conf`	Mechanisms for Reasoning about Sets. AAAI Michael P. Wellman, Reid G. Simmons
1988	J	`jnl`	P. L. Miller, Expert Critiquing Systems: Practice-Based Medical Consultation by Computer. Artif. Intell. Michael P. Wellman
1988	J	`jnl`	The role of calculi in uncertain reasoning. Int. J. Approx. Reason. Michael P. Wellman
1987	A*	`conf`	Dominance and Subsumption in Constraint-Posting Planning. IJCAI Michael P. Wellman
1987	A*	`conf`	Probabilistic Semantics for Qualitative Influences. AAAI Michael P. Wellman
1986	A	`conf`	Qualitativce probabilistic networks for planning under uncertainty. UAI Michael P. Wellman