Convergence and knowledge processing in multi-agent systems

Maria Chli, Phillipe de Wilde

Research output: Book/ReportBook

Abstract

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.
Original languageEnglish
Place of PublicationLondon
PublisherSpringer
Number of pages144
ISBN (Electronic)978-1-84882-063-0
ISBN (Print)978-1-848-82062-3
DOIs
Publication statusPublished - 8 Jun 2009

Publication series

NameAdvanced information and knowledge processing
PublisherSpringer

Keywords

  • adaptive behaviour
  • agent-based computational economics
  • decision making
  • distributed systems
  • economics
  • equilibrium distribution
  • games
  • intelligent agents
  • multi-agent systems
  • stability

Fingerprint Dive into the research topics of 'Convergence and knowledge processing in multi-agent systems'. Together they form a unique fingerprint.

  • Cite this

    Chli, M., & de Wilde, P. (2009). Convergence and knowledge processing in multi-agent systems. (Advanced information and knowledge processing). Springer. https://doi.org/10.1007/978-1-84882-063-0