Presentation 2003/10/14
Analysis of Chaotic Behavior of Input Pricing realized by the Multi-agent Systems based on the Co-evolutionary Genetic Programming
Shozo TOKINAGA, Yoshikadu IKEDA,
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Abstract(in English) This report deals with the analysis of chaotic behavior of multi-agent systems based on the co-evolutionary Genetic Programming (GP) in the pricing in service facilities. Assuming three types of agents, in which rational agents prefer forecast models (equations) to support their decision making, and irrational agents select decisions at random. Piecewise linear function is assumed in the decision of join/balk and in the restriction of capacity of facilities cause chaoticity. Then, we examine the chaotic behavior of pricing depending on the parameters by simulation and also by using the approximate representation by a neural network.
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Keyword(in English) Multi-agent System / Genetic Programming / Pricing / Chaoticity
Paper # NLP2003-98
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Committee NLP
Conference Date 2003/10/14(1days)
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Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Analysis of Chaotic Behavior of Input Pricing realized by the Multi-agent Systems based on the Co-evolutionary Genetic Programming
Sub Title (in English)
Keyword(1) Multi-agent System
Keyword(2) Genetic Programming
Keyword(3) Pricing
Keyword(4) Chaoticity
1st Author's Name Shozo TOKINAGA
1st Author's Affiliation Graduate School of Economics, Kyushu University()
2nd Author's Name Yoshikadu IKEDA
2nd Author's Affiliation Faculty of Economics, Shinshu University
Date 2003/10/14
Paper # NLP2003-98
Volume (vol) vol.103
Number (no) 375
Page pp.pp.-
#Pages 6
Date of Issue