Game Theory and Decision Theory in Agent-Based Systems

1. Front Matter

   Pages i-xxxiii

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2. An Introduction to Game Theory and Decision Theory

   • Simon Parsons, Michael Wooldridge

   Pages 1-28

3. Selecting Partners

   • Bikramjit Banerje, Sandip Sen

   Pages 29-42

4. Evolution of Agents with Moral Sentiments in an Iterated Prisoner’s Dilemma Exercise

   • Ana L. C. Bazzan, Rafael H. Bordini, John A. Campbell

   Pages 43-64

5. Dynamic Desires

   • Mehdi Dastani, Zhisheng Huang, Leendert van der Torre

   Pages 65-80

6. Emotions and Personality in Agent Design and Modeling

   • Piotr J. Gmytrasiewicz, Christine L. Lisetti

   Pages 81-95

7. Implementing a Decision-Theoretic Approach to Game Theory for Socially Competent Agents

   • Piotr J. Gmytrasiewicz, Sanguk Noh

   Pages 97-118

8. Shopbot Economics

   • Jeffrey O. Kephart, Amy R. Greenwald

   Pages 119-158

9. Finding the Best Way to Join in: A Dynamic Accession Game

   • László Á. Kóczy

   Pages 159-176

10. Shopbots and Pricebots in Electronic Service Markets

    • Panos M. Markopoulos, Lyle H. Ungar

    Pages 177-195

11. Polynomial Time Mechanisms for Collective Decision Making

    • Thomas C. O’Connell, Richard E. Stearns

    Pages 197-216

12. Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions

    • Manu Sridharan, Gerald Tesauro

    Pages 217-234

13. Satisficing Equilibria

    • Wynn C. Stirling, Michael A. Goodrich, Dennis J. Packard

    Pages 235-265

14. Investigating Commitment Flexibility in Multi-Agent Contracts

    • Vanessa Teague, Liz Sonenberg

    Pages 267-291

15. Pricing in Agent Economies Using Multi-Agent Q-Learning

    • Gerald Tesauro, Jeffrey O. Kephart

    Pages 293-313

16. Using Hypergames to Increase Planned Payoff and Reduce Risk

    • Russell Vane, Paul Lehner

    Pages 315-336

17. Bilateral Negotiation with Incomplete and Uncertain Information

    • Julita Vassileva, Chhaya Mudgal

    Pages 337-353

18. Robust Combinatorial Auction Protocol Against False-Name Bids

    • Makoto Yokoo, Yuko Sakurai, Shigeo Matsubara

    Pages 355-373

19. Back Matter

    Pages 375-379

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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.

• agents
• decision theory
• emotion
• evolution
• game theory

• Brooklyn College, City University of New York, USA

  Simon Parsons

• University of Illinois at Chicago, USA

  Piotr Gmytrasiewicz

• University of Liverpool, UK

  Michael Wooldridge

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