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Convergence and Knowledge Processing in Multi-Agent Systems

  • Maria Chli
  • Philippe de Wilde

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

About this book

Introduction

Multi-agent systems are complex systems comprised of multiple intelligent agents that act either independently or in cooperation with one another. Agent-based modelling is a method for studying complex systems like economies, societies, ecologies etc. Due to their complexity, very often mathematical analysis is limited in its ability to analyse such systems. In this case, agent-based modelling offers a practical, constructive method of analysis.

The objective of this book is to shed light on some emergent properties of multi-agent systems. The authors focus their investigation on the effect of knowledge exchange on the convergence of complex, multi-agent systems.

Keywords

Adaptive behaviour Agent-based Computational Economics Decision Making Distributed Systems Economics Equilibrium Distribution Games Intelligent agents Multi-agent systems Stability evolutionary algorithm multi-agent system

Editors and affiliations

  • Maria Chli
    • 1
  • Philippe de Wilde
    • 2
  1. 1.Aston UniversityBirminghamUnited Kingdom
  2. 2.Heriot Watt UniversityEdinburghUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84882-063-0
  • Copyright Information Springer London 2009
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84882-062-3
  • Online ISBN 978-1-84882-063-0
  • Buy this book on publisher's site
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