Presentation 1999/1/12
Emergent Phenomena in Markets : Analysis Based on an Artificial Market Approach
Kiyoshi IZUMI, Kazuhiro UEDA,
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Abstract(in English) In this study, an artificial market approach, which is a new agent-based approach to investigate foreign exchange markets, is proposed. Using this approach, three emergent phenomena of markets were explained. First, in order to investigate the learning patterns of actual dealers, we held an interview with a dealer. Second, based on the field data acquired, we constructed a multiagent model of a market using genetic algorithms. Finally, the emergent phenomena of markets were analyzed using the simulation results of the model. The results showed that the interaction between the agents' forecasts and the relationship of demand and supply caused the phase transition of forecast variety. The three emergent phenomena were explained by the phase transition. This approach, therefore, integrates the fieldwork and the multiagent model, and provide quantitative explanation of the micro-macro relation in markets.
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Keyword(in English) complex systems / emergent phenomena / artificial market approach / multiagent model
Paper # AI98-68
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Conference Information
Committee AI
Conference Date 1999/1/12(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) Emergent Phenomena in Markets : Analysis Based on an Artificial Market Approach
Sub Title (in English)
Keyword(1) complex systems
Keyword(2) emergent phenomena
Keyword(3) artificial market approach
Keyword(4) multiagent model
1st Author's Name Kiyoshi IZUMI
1st Author's Affiliation Information Science Div., ETL()
2nd Author's Name Kazuhiro UEDA
2nd Author's Affiliation Dept. of General Systems Studies University of Tokyo
Date 1999/1/12
Paper # AI98-68
Volume (vol) vol.98
Number (no) 499
Page pp.pp.-
#Pages 8
Date of Issue