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On AIE-ASM: Software to Simulate Artificial Stock Markets with Genetic Programming

  • Shu-Heng Chen
  • Chia-Husan Yeh
  • Chung-Chih Liao
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 100)

Abstract

Agent-based computational economic modeling requires demanding work on computer programming. Publications of agent-based computational economic modeling usually do not provide readers with adequate information to permit replication of the experiments reported in the papers. Such failure makes the findings from the agent-based simulations hard to verify and defies technical improvement. To facilitate the growth of this research area, it is necessary for authors to make their source codes available in a public domain. This paper is a documentation accompanying the software AIE-ASM, which is available on the website. The software is designed to simulate the agent-based artificial stock market based on a standard asset pricing model. Genetic programming, as part of the software, is used to drive the learning dynamics of traders. An example based on the version of single-population genetic programming is demonstrated in this paper.

Keywords

Genetic Programming Stock Price Business School Price Discovery Tournament Selection 
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 2002

Authors and Affiliations

  • Shu-Heng Chen
    • 1
  • Chia-Husan Yeh
    • 2
  • Chung-Chih Liao
    • 3
  1. 1.AI-ECON Research Center, Department of EconomicsNational Chengchi UniversityTaipeiTaiwan
  2. 2.Department of Information ManagementI-Shou UniversityKaohsiungTaiwan
  3. 3.Graduate Institute of International BusinessNational Taiwan UniversityTaipeiTaiwan

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