Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
Modeling Intelligence of Learning Agents in An Artificial Double Auction Market
In psychological as well as socioeconomic studies, individual intelligence has been found decisive in many domains. In this paper, we employ genetic programming as the algorithm of our learning agents who compete with other designed strategies extracted from the literature.We then discuss the possibility of using population size as a proxy parameter of individual intelligence of software agents. 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
36-42
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Chen, Shu-Heng
2d1d85ce-78a3-4413-b3cb-ce0271a3c8bf
15 May 2009
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Chen, Shu-Heng
2d1d85ce-78a3-4413-b3cb-ce0271a3c8bf
Tai, Chung-Ching and Chen, Shu-Heng
(2009)
Modeling Intelligence of Learning Agents in An Artificial Double Auction Market.
In 2009 IEEE Symposium on Computational Intelligence for Financial Engineering (CIFEr 2009).
IEEE.
.
(doi:10.1109/CIFER.2009.4937500).
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Conference or Workshop Item
(Paper)
Abstract
In psychological as well as socioeconomic studies, individual intelligence has been found decisive in many domains. In this paper, we employ genetic programming as the algorithm of our learning agents who compete with other designed strategies extracted from the literature.We then discuss the possibility of using population size as a proxy parameter of individual intelligence of software agents. 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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Published date: 15 May 2009
Venue - Dates:
2009 IEEE Symposium on Computational Intelligence for Financial Engineering (CIFEr 2009), , Nashville, United States, 2009-03-30 - 2009-04-02
Identifiers
Local EPrints ID: 468748
URI: http://eprints.soton.ac.uk/id/eprint/468748
ISSN: 0018-9219
PURE UUID: 856275c5-bead-4d77-bb85-87512e5ab302
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Date deposited: 24 Aug 2022 16:42
Last modified: 17 Mar 2024 03:59
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Author:
Shu-Heng Chen
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