An Evolutionary Framework for Studying Behaviors of Economic Agents

Wolfgang Ketter, Alexander Babanov, Maria L Gini

Research output: Contribution to conferencePaperpeer-review

Abstract

We propose an evolutionary framework for studying agents that interact in electronic marketplaces and describe how to use the framework to study the dynamics of interaction and evolution of agent strategies. We present experimental results from a simulated market, where service providers compete for customers using multiple strategies. The results show how service providers of different strategies adapt to occupy distinct niches in the market.

Original languageEnglish (US)
Pages1030-1031
Number of pages2
DOIs
StatePublished - 2003
EventProceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03 - Melbourne, Vic., Australia
Duration: Jul 14 2003Jul 18 2003

Other

OtherProceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 03
Country/TerritoryAustralia
CityMelbourne, Vic.
Period7/14/037/18/03

Keywords

  • Adaptation and Learning
  • Evolution

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