Applications of Decision and Utility Theory in Multi-Agent Systems

This report reviews the applications of decision-related theories (decision theory, utility theory, probability theory, and game theory) in various aspects of multi-agent systems. In recent years, multi-agent systems (MASs) have become a highly active research area as multi-agent systems have a wide range of applications. However, most of real-world environments are very complex and of uncertainty. An agent’s knowledge about the world is rather incomplete and uncertain. The actions of the agent are non-deterministic with a range of possible outcomes. The agent may have many desires that conflict each other. The agent also needs to know about other agents and decide how to interact with others. These aspects may be handled by the application of techniques provided by decision-related theories. In this report, the mechanisms of decisionrelated theories are introduced especially a series of typical concepts and methodologies. The decision problems existing in multi-agent systems that can be handled by decision-related theories are discussed from different aspects. A variety of applications of decision-related theories in multi-agent systems are presented especially the application of the series of typical concepts and methodologies.

[1]  Tuomas Sandholm,et al.  Distributed rational decision making , 1999 .

[2]  Eric Horvitz,et al.  A Framework for Comparing Alternative Formalisms for Plausible Reasoning , 1986, AAAI.

[3]  Sarit Kraus,et al.  Reaching Agreements Through Argumentation: A Logical Model and Implementation , 1998, Artif. Intell..

[4]  Ken Binmore,et al.  Fun and games : a text on game theory , 1992 .

[5]  Richard E. Neapolitan,et al.  Probabilistic reasoning in expert systems - theory and algorithms , 2012 .

[6]  Leen-Kiat Soh,et al.  Agent-Based Argumentative Negotiations with Case-Based Reasoning , 2001 .

[7]  Richard A. Chechile,et al.  Making decisions: A multidisciplinary introduction , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

[8]  Gerhard Weiss,et al.  Multiagent systems: a modern approach to distributed artificial intelligence , 1999 .

[9]  Judea Pearl,et al.  Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.

[10]  H. Raiffa,et al.  The art and science of negotiation , 1983 .

[11]  Tom M. Apostol,et al.  Calculus, Volume 1 , 1961 .

[12]  Dana S. Nau,et al.  On the Complexity of Blocks-World Planning , 1992, Artif. Intell..

[13]  R. L. Keeney,et al.  Decisions with Multiple Objectives: Preferences and Value Trade-Offs , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[14]  Craig Boutilier,et al.  Planning, Learning and Coordination in Multiagent Decision Processes , 1996, TARK.

[15]  Eric Horvitz,et al.  Decision theory in expert systems and artificial intelligenc , 1988, Int. J. Approx. Reason..

[16]  Julita Vassileva,et al.  Bilateral Negotiation with Incomplete and Uncertain Information , 2002 .

[17]  Milind Tambe,et al.  Towards Flexible Teamwork , 1997, J. Artif. Intell. Res..

[18]  Paul E. Lehner,et al.  Using Hypergames to Increase Planned Payoff and Reduce Risk , 2002, Autonomous Agents and Multi-Agent Systems.

[19]  Lyle H. Ungar,et al.  Shopbots and Pricebots in Electronic Service Markets , 2002 .

[20]  Ronald A. Howard,et al.  Dynamic Programming and Markov Processes , 1960 .

[21]  Michael N. Huhns,et al.  Multiagent systems and societies of agents , 1999 .

[22]  Peter C. Fishburn,et al.  Utility theory for decision making , 1970 .

[23]  Neil Immerman,et al.  The Complexity of Decentralized Control of Markov Decision Processes , 2000, UAI.

[24]  Claudia V. Goldman,et al.  Optimizing information exchange in cooperative multi-agent systems , 2003, AAMAS '03.

[25]  D. J. White,et al.  Decision Theory , 2018, Behavioral Finance for Private Banking.

[26]  Bikramjit Banerjee,et al.  Selecting partners , 2000, AGENTS '00.

[27]  Kee-Eung Kim,et al.  Learning to Cooperate via Policy Search , 2000, UAI.

[28]  W. Hamilton,et al.  The Evolution of Cooperation , 1984 .

[29]  Sanguk Noh,et al.  Implementing a Decision-Theoretic Approach to Game Theory for Socially Competent Agents , 2002 .

[30]  John E. Freund,et al.  Introduction to the theory of games , 1964 .

[31]  H. Raiffa,et al.  GAMES AND DECISIONS; INTRODUCTION AND CRITICAL SURVEY. , 1958 .

[32]  Munindar P. Singh,et al.  Formal methods in DAI: logic-based representation and reasoning , 1999 .

[33]  Rafael H. Bordini,et al.  Agents with Moral Sentiments in an Iterated Prisoner's Dilemma Exercise , 1997 .

[34]  Makoto Yokoo,et al.  Communications for improving policy computation in distributed POMDPs , 2004, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004..

[35]  K. Suzanne Barber,et al.  Strategy Selection-Based Meta-level Reasoning for Multi-agent Problem-Solving , 2009, AOSE.

[36]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.

[37]  Ronald A. Howard,et al.  Influence Diagrams , 2005, Decis. Anal..

[38]  Milind Tambe,et al.  Automated Assistants for Analyzing Team Behaviors , 2004, Autonomous Agents and Multi-Agent Systems.

[39]  Craig Boutilier,et al.  Decision-Theoretic Planning: Structural Assumptions and Computational Leverage , 1999, J. Artif. Intell. Res..

[40]  K. Sycara Utility theory in conflict resolution , 1988 .

[41]  Anand S. Rao,et al.  BDI Agents: From Theory to Practice , 1995, ICMAS.

[42]  Victor R. Lesser,et al.  Coalitions Among Computationally Bounded Agents , 1997, Artif. Intell..

[43]  Wayne Lee,et al.  Decision theory and human behavior , 1971 .

[44]  Christine L. Lisetti,et al.  Emotions and Personality in Agent Design and Modeling , 2001, User Modeling.

[45]  Manu Sridharan,et al.  Multi-agent Q-learning and regression trees for automated pricing decisions , 2000, Proceedings Fourth International Conference on MultiAgent Systems.

[46]  Leslie Pack Kaelbling,et al.  Acting Optimally in Partially Observable Stochastic Domains , 1994, AAAI.

[47]  Nicholas R. Jennings,et al.  The Dynamic Selection of Coordination Mechanisms , 2004, Autonomous Agents and Multi-Agent Systems.

[48]  Michael G. Madden,et al.  Coalition calculation in a dynamic agent environment , 2004, ICML.

[49]  Jeffrey O. Kephart,et al.  Shopbot Economics , 2004, Autonomous Agents and Multi-Agent Systems.

[50]  C. Tsatsoulis,et al.  A Satisficing, Negotiated, and Learning Coalition Formation Architecture , 2003 .

[51]  Geoffrey I. Webb,et al.  Using Decision Trees for Agent Modeling: Improving Prediction Performance , 2004, User Modeling and User-Adapted Interaction.

[52]  Howard Raiffa,et al.  Decision analysis: introductory lectures on choices under uncertainty. 1968. , 1969, M.D.Computing.

[53]  Allen Newell,et al.  The Knowledge Level , 1989, Artif. Intell..

[54]  Milind Tambe,et al.  The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models , 2011, J. Artif. Intell. Res..

[55]  Manuela M. Veloso,et al.  Using decision tree confidence factors for multi-agent control , 1998, AGENTS '98.

[56]  Leo Breiman,et al.  Classification and Regression Trees , 1984 .

[57]  J. Nash Equilibrium Points in N-Person Games. , 1950, Proceedings of the National Academy of Sciences of the United States of America.