Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{Chen:2009:eurogp,
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author = "Shu-Heng Chen and Chung-Ching Tai",
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title = "Modeling Intelligence of Learning Agents in An
Artificial Double Auction Market",
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booktitle = "Proceedings of the 12th European Conference on Genetic
Programming, EuroGP 2009",
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year = "2009",
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editor = "Leonardo Vanneschi and Steven Gustafson and
Alberto Moraglio and Ivanoe {De Falco} and Marc Ebner",
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volume = "5481",
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series = "LNCS",
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pages = "171--182",
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address = "Tuebingen",
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month = apr # " 15-17",
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organisation = "EvoStar",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-01180-1",
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DOI = "doi:10.1007/978-3-642-01181-8_15",
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abstract = "Individual differences in intellectual abilities can
be observed across time and everywhere in the world,
and this fact has been well studied by psychologists
for a long time. To capture the innate heterogeneity of
human intellectual abilities, this paper employs
genetic programming as the algorithm of the learning
agents, and then proposes the possibility of using
population size as a proxy parameter of individual
intelligence. By modeling individual intelligence in
this way, we demonstrate not only a nearly positive
relation between individual intelligence and
performance, but more interestingly the effect of
decreasing marginal contribution of IQ to performance
found in psychological literature.",
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notes = "Part of \cite{conf/eurogp/2009} EuroGP'2009 held in
conjunction with EvoCOP2009, EvoBIO2009 and
EvoWorkshops2009",
- }
Genetic Programming entries for
Shu-Heng Chen
Chung-Ching Tai
Citations