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Game Theory and Decision Theory in Agent-Based Systems (Multiagent Systems, Artificial Societies, and Simulated Organizations, 5, Band 5) - Hardcover

 
9781402071157: Game Theory and Decision Theory in Agent-Based Systems (Multiagent Systems, Artificial Societies, and Simulated Organizations, 5, Band 5)

Inhaltsangabe

Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include:

  • Selecting Partners;
  • Evolution of Agents with Moral Sentiments in an IPD Exercise;
  • Dynamic Desires;
  • Emotions and Personality;
  • Decision-Theoretic Approach to Game Theory;
  • Shopbot Economics;
  • Finding the Best Way to Join in;
  • Shopbots and Pricebots in Electronic Service Markets;
  • Polynomial Time Mechanisms;
  • Multi-Agent Q-learning and Regression Trees;
  • Satisficing Equilibria;
  • Investigating Commitment Flexibility in Multi-agent Contracts;
  • Pricing in Agent Economies using Multi-agent Q-learning;
  • Using Hypergames to Increase Planned Payoff and Reduce Risk;
  • Bilateral Negotiation with Incomplete and Uncertain Information;
  • Robust Combinatorial Auction Protocol against False-name Bids.

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Über die Autorin bzw. den Autor

Stefan Bussmann studied computer science at the University of Kaiserslautern, Germany, and at the Institut National Polytechnique de Grenoble, France. He received a PhD degree from the University of Southampton, UK, in 2003. Since 1993 he is with the DaimlerChrysler Research and Technology in Berlin, where he is working as a senior scientist on innovative production planning and control methods. He has published several papers on agent-based manufacturing control and has brought into operation the probably first full-scale industrial agent-based manufacturing control system.Nick Jennings is Professor of Computer Science in the 5*-rated School of Electronics and Computer Science at Southampton University where he carries out basic and applied research in agent-based computing. He has published some 200 articles and 6 books on various facets of agent-based computing and holds 2 patents (3 more pending). He is in the top 125 most cited computer scientists (out of 660,000) according to the CiteSeer digital library and has received a number of awards for his research: the Computers and Thought Award (the premier award for a young AI scientist) in 1999 (this is the only time in the Award's 30 year history that it has been given to someone based in Europe), an IEE Achievement Medal in 2000, and the ACM Autonomous Agents Research Award in 2003.Michael Wooldridge is Professor of Computer Science at the University of Liverpool, UK, where he is currently Head of Department. His main research interests are in the use of formal methods for reasoning about multiagent systems. He has published more than 150 articles and 13 books on multiagent systems, including a research monograph (Reasoning about Rational Agents, 2000) and an introductory textbook (An Introduction to Multiagent Systems, 2002). He is currently editor-in-chief of the journal Autonomous Agents and Multiagent Systems.

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Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include: Selecting Partners; Evolution of Agents with Moral Sentiments in an IPD Exercise; Dynamic Desires; Emotions and Personality; Decision-Theoretic Approach to Game Theory; Shopbot Economics; Finding the Best Way to Join in; Shopbots and Pricebots in Electronic Service Markets; Polynomial Time Mechanisms; Multi-Agent Q-learning and Regression Trees; Satisficing Equilibria; Investigating Commitment Flexibility in Multi-agent Contracts; Pricing in Agent Economies using Multi-agent Q-learning; Using Hypergames to Increase Planned Payoff and Reduce Risk; Bilateral Negotiation with Incomplete and Uncertain Information; Robust Combinatorial Auction Protocol against False-name Bids.

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