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Agent-Based Modeling of the Textile/Apparel Marketplace

  • E. L. Brannon
  • S. Thommesen
  • T. Marshall
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 108)

Abstract

A number of approaches exist where populations of interacting agents are linked in a network of connections and studied using simulation. The problem is that such models tend to settle into a self-consistent pattern that fails to provide information about the constant adaptation present in real world systems. Agentbased modeling derives from a basic insight: a system of agents following simple rules can exhibit complex behaviors. At each time step, each agent assesses its own condition in comparison to its preference set, evaluates the environment within its sight range, and determines its behavior in the next time step. The collective actions of all agents influence the developing pattern of behavior and the decision environment at each successive time step. Such systems are termed co-evolutionary models because agents must adapt to each other and to changes in their world.

Keywords

Purchase Intention Purchase Decision Artificial Life Preference Profile Tradeoff Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • E. L. Brannon
    • 1
  • S. Thommesen
    • 1
  • T. Marshall
    • 1
  1. 1.Department of Consumer AffairsAuburn UniversityAuburnUSA

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