Presentation 2006/9/20
Estimation of Decision Processes and States by using Particle Filters and Functional Approximations based on the Genetic Programming and its Applications
Kangrong TAN, Shozo TOKINAGA, Meifen CHU,
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Abstract(in English) This report deals with the estimation of decision processes and states by using Particle Filters (PF) and functional approximations based on the Genetic Programming (GP) and its applications. We assume that results of agents' behavior are described by time series whose dynamics is given by the state space models. Then, it is possible to apply PF to estimate state variables from observations. Different from ordinary PF, we also estimate state equations using the GP, while the agents' behavior are also reflected to the time series. Individuals in the GP method are improved based on the likelihood obtained by the PF. As applications, we show examples of artificially generated time series for demand of goods and electricity, by showing sufficient estimations of decision process and states.
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Keyword(in English) Agents' behavior / Particle Filters / Genetic Programming / State estimation / Nonlinear modeling
Paper # SIP2006-80,SIS2006-43,SP2006-66
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Conference Date 2006/9/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Estimation of Decision Processes and States by using Particle Filters and Functional Approximations based on the Genetic Programming and its Applications
Sub Title (in English)
Keyword(1) Agents' behavior
Keyword(2) Particle Filters
Keyword(3) Genetic Programming
Keyword(4) State estimation
Keyword(5) Nonlinear modeling
1st Author's Name Kangrong TAN
1st Author's Affiliation Faculty of Economics, Kurume University()
2nd Author's Name Shozo TOKINAGA
2nd Author's Affiliation Graduate School of Economics, Kyushu University
3rd Author's Name Meifen CHU
3rd Author's Affiliation Graduate School of Economics, Kyushu University
Date 2006/9/20
Paper # SIP2006-80,SIS2006-43,SP2006-66
Volume (vol) vol.106
Number (no) 262
Page pp.pp.-
#Pages 6
Date of Issue