Presentation 2000/3/22
Construction of an artificial stock market using an Evolutionary Computation
Hiroaki Yamane, Tomoharu Nagao,
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Abstract(in English) In this paper, we propose a new artificial stock market composed of multi-agents whose investment strategies are represented by tree-shaped programs. The market is optimized by using a Genetic Programming so that the change of its stock price resembles that of "real"stock market statistically. First, we improve genetic operators for trees and introduce a method, which uses frequency of reference of partial trees for efficient optimization. Next, to make analysis of trees easier, we modify the setting of functional symbols. We show experimentally that complex changes like real market often appeared in the proposed artificial market.
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Keyword(in English) evolutionary compuatation / genetic programming / artificial stock market
Paper # AI99-100,KBSE99-59
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Committee AI
Conference Date 2000/3/22(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Construction of an artificial stock market using an Evolutionary Computation
Sub Title (in English)
Keyword(1) evolutionary compuatation
Keyword(2) genetic programming
Keyword(3) artificial stock market
1st Author's Name Hiroaki Yamane
1st Author's Affiliation Imaging Science and Engineering Laboratory, Tokyo Institute of Technology()
2nd Author's Name Tomoharu Nagao
2nd Author's Affiliation Imaging Science and Engineering Laboratory, Tokyo Institute of Technology
Date 2000/3/22
Paper # AI99-100,KBSE99-59
Volume (vol) vol.99
Number (no) 718
Page pp.pp.-
#Pages 8
Date of Issue