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Game Theory and Decision Theory in Agent-Based Systems

  • Simon Parsons
  • Piotr Gmytrasiewicz
  • Michael Wooldridge

Table of contents

  1. Front Matter
    Pages i-xxxiii
  2. Simon Parsons, Michael Wooldridge
    Pages 1-28
  3. Bikramjit Banerje, Sandip Sen
    Pages 29-42
  4. Ana L. C. Bazzan, Rafael H. Bordini, John A. Campbell
    Pages 43-64
  5. Mehdi Dastani, Zhisheng Huang, Leendert van der Torre
    Pages 65-80
  6. Piotr J. Gmytrasiewicz, Christine L. Lisetti
    Pages 81-95
  7. Jeffrey O. Kephart, Amy R. Greenwald
    Pages 119-158
  8. Panos M. Markopoulos, Lyle H. Ungar
    Pages 177-195
  9. Thomas C. O’Connell, Richard E. Stearns
    Pages 197-216
  10. Wynn C. Stirling, Michael A. Goodrich, Dennis J. Packard
    Pages 235-265
  11. Vanessa Teague, Liz Sonenberg
    Pages 267-291
  12. Gerald Tesauro, Jeffrey O. Kephart
    Pages 293-313
  13. Russell Vane, Paul Lehner
    Pages 315-336
  14. Julita Vassileva, Chhaya Mudgal
    Pages 337-353
  15. Makoto Yokoo, Yuko Sakurai, Shigeo Matsubara
    Pages 355-373
  16. Back Matter
    Pages 375-379

About this book

Introduction

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.

Keywords

agents decision theory emotion evolution game theory

Editors and affiliations

  • Simon Parsons
    • 1
  • Piotr Gmytrasiewicz
    • 2
  • Michael Wooldridge
    • 3
  1. 1.Brooklyn CollegeCity University of New YorkUSA
  2. 2.University of Illinois at ChicagoUSA
  3. 3.University of LiverpoolUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1107-6
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5398-0
  • Online ISBN 978-1-4615-1107-6
  • Series Print ISSN 1568-2617
  • Buy this book on publisher's site