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Game Theory and Decision Theory in Agent-Based Systems

✍ Scribed by Simon Parsons, Michael Wooldridge (auth.), Simon Parsons, Piotr Gmytrasiewicz, Michael Wooldridge (eds.)


Publisher
Springer US
Year
2002
Tongue
English
Leaves
402
Series
Multiagent Systems, Artificial Societies, and Simulated Organizations 5
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xxxiii
An Introduction to Game Theory and Decision Theory....Pages 1-28
Selecting Partners....Pages 29-42
Evolution of Agents with Moral Sentiments in an Iterated Prisoner’s Dilemma Exercise....Pages 43-64
Dynamic Desires....Pages 65-80
Emotions and Personality in Agent Design and Modeling....Pages 81-95
Implementing a Decision-Theoretic Approach to Game Theory for Socially Competent Agents....Pages 97-118
Shopbot Economics....Pages 119-158
Finding the Best Way to Join in: A Dynamic Accession Game....Pages 159-176
Shopbots and Pricebots in Electronic Service Markets....Pages 177-195
Polynomial Time Mechanisms for Collective Decision Making....Pages 197-216
Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions....Pages 217-234
Satisficing Equilibria....Pages 235-265
Investigating Commitment Flexibility in Multi-Agent Contracts....Pages 267-291
Pricing in Agent Economies Using Multi-Agent Q-Learning....Pages 293-313
Using Hypergames to Increase Planned Payoff and Reduce Risk....Pages 315-336
Bilateral Negotiation with Incomplete and Uncertain Information....Pages 337-353
Robust Combinatorial Auction Protocol Against False-Name Bids....Pages 355-373
Back Matter....Pages 375-379

✦ Subjects


Artificial Intelligence (incl. Robotics); Game Theory, Economics, Social and Behav. Sciences


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