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Artificial Intelligence Review

, Volume 17, Issue 2, pp 87–128 | Cite as

Autonomous Agent Models of Stock Markets

  • Hakman A. Wan
  • Andrew Hunter
  • Peter Dunne
Article

Abstract

The use of artificial agents in the studyof stock markets has aroused much interest in the past two decades. Modelsof markets consisting of agents were built to reinforce or question theoriesin economics – including the principleof “negative feedback”, the EfficientMarket Hypothesis, and chaos theory.In this article, we review the developmentof these agent models, highlight key design issues and problems,and suggest some directions for future research.

agents Efficient Market Hypothesis model price equilibrium 

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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Hakman A. Wan
    • 1
  • Andrew Hunter
    • 2
  • Peter Dunne
    • 3
  1. 1.School of Business and AdministrationThe Open University of Hong KongHomantinHong Kong SAR, China
  2. 2.Department of Computer ScienceUniversity of DurhamDurhamEngland
  3. 3.School of Computing and Information SystemsUniversity of SunderlandSunderlandEngland, UK

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