Presentation 2002/1/3
A study on the relationship between the information interpretation of learning trader and macro-structure of artificial market
Daisuke KANEHIR, Hidenori KAWAMURA, Koichi KURUMATANI, Azuma OHUCHI,
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Abstract(in English) This paper describes the research about a relationship between complexity of information structure and behavior artificial market with learning trader agent. We attempt three experiments with two kinds of traders, and adopt correlation dimension analysis in order to measure behavior of artificial market. As a result, we show the information structure is related with the macro behavior of market although the information is not related with the essential worth of the stock.
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Keyword(in English) Artificial Market / Multi-Agent Simulation / Information Interpretation, Correlation Dimension Analysis / X-Economy
Paper # AI2001-75
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Committee AI
Conference Date 2002/1/3(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) A study on the relationship between the information interpretation of learning trader and macro-structure of artificial market
Sub Title (in English)
Keyword(1) Artificial Market
Keyword(2) Multi-Agent Simulation
Keyword(3) Information Interpretation, Correlation Dimension Analysis
Keyword(4) X-Economy
1st Author's Name Daisuke KANEHIR
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Koichi KURUMATANI
3rd Author's Affiliation National Institute of Advanced Industrial Science and Technology
4th Author's Name Azuma OHUCHI
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2002/1/3
Paper # AI2001-75
Volume (vol) vol.101
Number (no) 536
Page pp.pp.-
#Pages 8
Date of Issue