Michael P. Wellman - researchr alias

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2011

Incentivizing Responsible Networking via Introduction-Based RoutingGregory Frazier, Quang Duong, Michael P. Wellman, Edward Petersen. idtrust 2011: 277-293 [doi]

Trading AgentsMichael P. Wellman. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, 2011. [doi]

2010

Exceptional Data Quality using Intelligent Matching and RetrievalClint R. Bidlack, Michael P. Wellman. aim, 31(1):65-73, 2010. [doi]

Agent-based analysis of asset pricing under ambiguous informationBen-Alexander Cassell, Michael P. Wellman. atal 2010: 1493-1494 [doi]

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

Strategic Modeling of Information Sharing among Data Privacy AttackersQuang Duong, Kristen LeFevre, Michael P. Wellman. informaticaSI, 34(2):151-158, 2010. [doi]

History-dependent graphical multiagent modelsQuang Duong, Michael P. Wellman, Satinder P. Singh, Yevgeniy Vorobeychik. atal 2010: 1215-1222 [doi]

Multiattribute Auctions Based on Generalized Additive IndependenceYagil Engel, Michael P. Wellman. jair, 37:479-525, 2010. [doi]

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

Strategy and mechanism lessons from the first ad auctions trading agent competitionPatrick R. Jordan, Michael P. Wellman, Guha Balakrishnan. sigecom 2010: 287-296 [doi]

Algorithms for Finding Approximate Formations in GamesPatrick R. Jordan, Michael P. Wellman. AAAI 2010: [doi]

Strategy exploration in empirical gamesPatrick R. Jordan, L. Julian Schvartzman, Michael P. Wellman. atal 2010: 1131-1138 [doi]

2009

Learning Graphical Game ModelsQuang Duong, Yevgeniy Vorobeychik, Satinder P. Singh, Michael P. Wellman. IJCAI 2009: 116-121 [doi]

Generalization risk minimization in empirical game modelsPatrick R. Jordan, Michael P. Wellman. atal 2009: 553-560 [doi]

Forecasting market prices in a supply chain gameChristopher Kiekintveld, Jason Miller, Patrick R. Jordan, Lee F. Callender, Michael P. Wellman. ecra, 8(2):63-77, 2009. [doi]

Information Feedback and Efficiency in Multiattribute Double AuctionsKevin M. Lochner, Michael P. Wellman. amma 2009: 26-39 [doi]

Weighted Description Logics Preference Formulas for Multiattribute NegotiationAzzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman. sum 2009: 193-205 [doi]

Computing Utility from Weighted Description Logic Preference FormulasAzzurra Ragone, Tommaso Di Noia, Francesco M. Donini, Eugenio Di Sciascio, Michael P. Wellman. dalt 2010: 158-173 [doi]

Stronger CDA strategies through empirical game-theoretic analysis and reinforcement learningL. Julian Schvartzman, Michael P. Wellman. atal 2009: 249-256 [doi]

Strategic Analysis with Simulation-based GamesYevgeniy Vorobeychik, Michael P. Wellman. wsc 2009: 359-372 [doi]

2008

2007

Iterated Weaker-than-Weak DominanceShih-Fen Cheng, Michael P. Wellman. IJCAI 2007: 1233-1238 [doi]

Generalized value decomposition and structured multiattribute auctionsYagil Engel, Michael P. Wellman. sigecom 2007: 227-236 [doi]

Empirical game-theoretic analysis of the TAC Supply Chain gamePatrick R. Jordan, Christopher Kiekintveld, Michael P. Wellman. atal 2007: 193 [doi]

Forecasting market prices in a supply chain gameChristopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman. atal 2007: 234 [doi]

Constraint satisfaction algorithms for graphical gamesVishal Soni, Satinder P. Singh, Michael P. Wellman. atal 2007: 67 [doi]

Foundations of multi-agent learning: Introduction to the special issueRakesh V. Vohra, Michael P. Wellman. ai, 171(7):363-364, 2007. [doi]

Learning payoff functions in infinite gamesYevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh. ml, 67(1-2):145-168, 2007. [doi]

Autonomous bidding agents - strategies and lessons from the trading agent competitionMichael P. Wellman, Amy R. Greenwald, Peter Stone. MIT Press, 2007.

2006

Bid expressiveness and clearing algorithms in multiattribute double auctionsYagil Engel, Michael P. Wellman, Kevin M. Lochner. sigecom 2006: 110-119 [doi]

CUI Networks: A Graphical Representation for Conditional Utility IndependenceYagil Engel, Michael P. Wellman. AAAI 2006:

Market Efficiency, Sales Competition, and the Bullwhip Effect in the TAC SCM TournamentsPatrick R. Jordan, Christopher Kiekintveld, Jason Miller, Michael P. Wellman. atal 2007: 62-74 [doi]

Controlling a supply chain agent using value-based decompositionChristopher Kiekintveld, Jason Miller, Patrick R. Jordan, Michael P. Wellman. sigecom 2006: 208-217 [doi]

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

Empirical mechanism design: methods, with application to a supply-chain scenarioYevgeniy Vorobeychik, Christopher Kiekintveld, Michael P. Wellman. sigecom 2006: 306-315 [doi]

Methods for Empirical Game-Theoretic AnalysisMichael P. Wellman. AAAI 2006:

2005

Walverine: a Walrasian trading agentShih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman. dss, 39(2):169-184, 2005. [doi]

Betting Boolean-style: a framework for trading in securities based on logical formulasLance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman. dss, 39(1):87-104, 2005. [doi]

Self-Confirming Price Prediction for Bidding in Simultaneous Ascending AuctionsAnna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason. dagstuhl 2005: [doi]

Self-Confirming Price Prediction for Bidding in Simultaneous Ascending AuctionsAnna Osepayshvili, Michael P. Wellman, Daniel M. Reeves, Jeffrey K. MacKie-Mason. uai 2005: 441-449 [doi]

Graphical Models for Groups: Belief Aggregation and Risk SharingDavid M. Pennock, Michael P. Wellman. da, 2(3):148-164, 2005. [doi]

Exploring bidding strategies for market-based schedulingDaniel M. Reeves, Michael P. Wellman, Jeffrey K. MacKie-Mason, Anna Osepayshvili. dss, 39(1):67-85, 2005. [doi]

Learning Payoff Functions in Infinite GamesYevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh. IJCAI 2005: 977-982 [doi]

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

Strategic Interactions in a Supply Chain GameMichael P. Wellman, Joshua Estelle, Satinder P. Singh, Yevgeniy Vorobeychik, Christopher Kiekintveld, Vishal Soni. ci, 21(1):1-26, 2005. [doi]

2004

Strategic Interactions in the TAC 2003 Supply Chain TournamentJoshua Estelle, Yevgeniy Vorobeychik, Michael P. Wellman, Satinder P. Singh, Christopher Kiekintveld, Vishal Soni. CG 2006: 316-331 [doi]

Value-driven procurement in the TAC supply chain gameChristopher Kiekintveld, Michael P. Wellman, Satinder P. Singh, Vishal Soni. sigecom, 4(3):9-18, 2004. [doi]

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

Bounding probabilistic relationships in Bayesian networks using qualitative influences: methods and applicationsChao-Lin Liu, Michael P. Wellman. ijar, 36(1):31-73, 2004. [doi]

Rule-Based Specification of Auction MechanismsKevin M. Lochner, Michael P. Wellman. atal 2004: 818-825 [doi]

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

Computing Best-Response Strategies in Infinite Games of Incomplete InformationDaniel M. Reeves, Michael P. Wellman. uai 2004: 470-478 [doi]

Computing approximate bayes-nash equilibria in tree-games of incomplete informationSatinder P. Singh, Vishal Soni, Michael P. Wellman. sigecom 2004: 81-90 [doi]

Price Prediction in a Trading Agent CompetitionMichael P. Wellman, Daniel M. Reeves, Kevin M. Lochner, Yevgeniy Vorobeychik. jair, 21:19-36, 2004. [doi]

2003

Walverine: a Walrasian trading agentShih-Fen Cheng, Evan Leung, Kevin M. Lochner, Kevin O Malley, Daniel M. Reeves, L. Julian Schvartzman, Michael P. Wellman. atal 2003: 465-472 [doi]

Market-Based Resource Allocation for Information-Collection ScenariosShih-Fen Cheng, Michael P. Wellman, Dennis G. Perry. mamus 2004: 33-47 [doi]

Betting boolean-style: a framework for trading in securities based on logical formulasLance Fortnow, Joe Kilian, David M. Pennock, Michael P. Wellman. sigecom 2003: 144-155 [doi]

Nash Q-Learning for General-Sum Stochastic GamesJunling Hu, Michael P. Wellman. jmlr, 4:1039-1069, 2003. [doi]

Decentralized Supply Chain Formation: A Market Protocol and Competitive Equilibrium AnalysisWilliam E. Walsh, Michael P. Wellman. jair, 19:513-567, 2003. [doi]

On market-inspired approaches to propositional satisfiabilityWilliam E. Walsh, Makoto Yokoo, Katsutoshi Hirayama, Michael P. Wellman. ai, 144(1-2):125-156, 2003. [doi]

Letter from the new chairMichael P. Wellman, Daniel A. Menascé, Peter R. Wurman. sigecom, 4(2), 2003. [doi]

Trading Agents Competing: Performance, Progress, and Market EffectivenessMichael P. Wellman, Shih-Fen Cheng, Daniel M. Reeves, Kevin M. Lochner. expert, 18(6):48-53, 2003. [doi]

The 2001 Trading Agent CompetitionMichael P. Wellman, Amy R. Greenwald, Peter Stone, Peter R. Wurman. electronicmarkets, 13(1), 2003. [doi]

Price prediction in a trading agent competition (extended abstract)Michael P. Wellman, Daniel M. Reeves, Kevin M. Lochner. sigecom 2003: 216-217 [doi]

Exploring bidding strategies for market-based schedulingMichael P. Wellman, Jeffrey K. MacKie-Mason, Daniel M. Reeves, Sowmya Swaminathan. sigecom 2003: 115-124 [doi]

2002

2001

2000

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

Compact Securities Markets for Pareto Optimal Reallocation of RiskDavid M. Pennock, Michael P. Wellman. uai 2000: 481-488 [doi]

Probabilistic State-Dependent Grammars for Plan RecognitionDavid V. Pynadath, Michael P. Wellman. uai 2000: 507-514 [doi]

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

Combinatorial auctions for supply chain formationWilliam E. Walsh, Michael P. Wellman, Fredrik Ygge. sigecom 2000: 260-269 [doi]

Distributed Quiescence Detection in Multiagent NegotiationMichael P. Wellman, William E. Walsh. icmas 2000: 317-324 [doi]

A::::k::::BA: a progressive, anonymous-price combinatorial auctionPeter R. Wurman, Michael P. Wellman. sigecom 2000: 21-29 [doi]

1999

1998

Online Learning about Other Agents in a Dynamic Multiagent SystemJunling Hu, Michael P. Wellman. agents 1998: 239-246 [doi]

Multiagent Reinforcement Learning: Theoretical Framework and an AlgorithmJunling Hu, Michael P. Wellman. icml 1998: 242-250

Using Qualitative Relationships for Bounding Probability DistributionsChao-Lin Liu, Michael P. Wellman. uai 1998: 346-353 [doi]

Incremental Tradeoff Resolution in Qualitative Probabilistic NetworksChao-Lin Liu, Michael P. Wellman. uai 1998: 338-345 [doi]

Generalized Queries on Probabilistic Context-Free GrammarsDavid V. Pynadath, Michael P. Wellman. pami, 20(1):65-77, 1998. [doi]

Some Economics of Market-Based Distributed SchedulingWilliam E. Walsh, Michael P. Wellman, Peter R. Wurman, Jeffrey K. MacKie-Mason. icdcs 1998: 612-621 [doi]

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

Market-aware agents for a multiagent worldMichael P. Wellman, Peter R. Wurman. ras, 24(3-4):115-125, 1998. [doi]

The Michigan Internet AcutionBot: A Configuarable Auction Server for Human and Software AgentsPeter R. Wurman, Michael P. Wellman, William E. Walsh. agents 1998: 301-308 [doi]

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