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First Generation Multi-agent Models and Their Upgrades

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  • András Vag

    (Futures Studies Centre, Budapest University of Economic Sciences and Public Administration)

Abstract

Multi-agent systems consist of interactive and independent agents of different kinds in a "world" of the computers. The key issue of multi-agent modelling is its ability to produce emergent phenomena at macro level from "micro-behaviour". For now this approach became a widely used methodology in socio-economics and ecology. This paper presents three famous first generation models and then drafts some of their upgrades, especially the agent-based computational economics, the spatial planning approach and the ecological models. Finally some conceptual developments are presented and discussed. Classification-ACM-1998: I.2.11; Distributed Artificial Intelligence, Multiagent systems

Suggested Citation

  • András Vag, 2004. "First Generation Multi-agent Models and Their Upgrades," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 2(1), pages 95-103.
    • Handle: RePEc:zna:indecs:v:2:y:2004:i:1:p:95-103
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    References listed on IDEAS

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    1. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    2. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, April.
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    Keywords

    simulation; early multi-agent models;

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