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Modeling social heterogeneity with genetic programming in an artificial double auction Market

Modeling social heterogeneity with genetic programming in an artificial double auction Market
Modeling social heterogeneity with genetic programming in an artificial double auction Market
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.

171-182
Springer
Chen, Shu-Heng
13f75ac4-9eeb-4601-b72a-edb0784d112b
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Vanneschi, Leonardo
Gustafson, Steven
Moraglio, Alberto
De Falco, Ivanoe
Ebner, Marc
Chen, Shu-Heng
13f75ac4-9eeb-4601-b72a-edb0784d112b
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Vanneschi, Leonardo
Gustafson, Steven
Moraglio, Alberto
De Falco, Ivanoe
Ebner, Marc

Chen, Shu-Heng and Tai, Chung-Ching (2009) Modeling social heterogeneity with genetic programming in an artificial double auction Market. In, Vanneschi, Leonardo, Gustafson, Steven, Moraglio, Alberto, De Falco, Ivanoe and Ebner, Marc (eds.) Genetic Programming: EuroGP 2009. (Lecture Notes in Computer Science, 5481) The 12th European Conference on Genetic Programming (EuroGP 2009) (15/04/09 - 17/04/09) Berlin, Heidelberg. Springer, pp. 171-182. (doi:10.1007/978-3-642-01181-8_15).

Record type: Book Section

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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More information

Published date: 2009
Venue - Dates: The 12th European Conference on Genetic Programming (EuroGP 2009), , Tübingen, Germany, 2009-04-15 - 2009-04-17

Identifiers

Local EPrints ID: 468217
URI: http://eprints.soton.ac.uk/id/eprint/468217
PURE UUID: 296b55f8-9dc2-499a-b4f2-5c5a4fdd9a23
ORCID for Chung-Ching Tai: ORCID iD orcid.org/0000-0002-2557-177X

Catalogue record

Date deposited: 05 Aug 2022 16:55
Last modified: 25 Aug 2022 02:02

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Contributors

Author: Shu-Heng Chen
Author: Chung-Ching Tai ORCID iD
Editor: Leonardo Vanneschi
Editor: Steven Gustafson
Editor: Alberto Moraglio
Editor: Ivanoe De Falco
Editor: Marc Ebner

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