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Social simulation with both human agents and software agents: An investigation into the impact of cognitive capacity on their learning behavior

Social simulation with both human agents and software agents: An investigation into the impact of cognitive capacity on their learning behavior
Social simulation with both human agents and software agents: An investigation into the impact of cognitive capacity on their learning behavior
In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human traders by studying learning agents constructed by Genetic Programming (GP), and the latter can further serve as a design platform in conducting human experiments. By manipulating the population size of GP traders, we attempt to characterize the innate heterogeneity in human being’s intellectual abilities. We find that GP traders are efficient in the sense that they can beat other trading strategies even with very limited learning capacity. A series of human experiments and multi-agent simulations are conducted and compared for an examination at the end of this chapter.
95-117
IGI Global
Chen, Shu-Heng
13f75ac4-9eeb-4601-b72a-edb0784d112b
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Wang, Tzai-Der
44c44845-a885-447e-9874-a0d0bb8ce84b
Wang, Shu G.
148fc79e-ea39-491b-873c-947852088019
Chen, Shu-Heng
13f75ac4-9eeb-4601-b72a-edb0784d112b
Tai, Chung-Ching
b3370b23-7410-4254-99bc-6711046e1095
Wang, Tzai-Der
44c44845-a885-447e-9874-a0d0bb8ce84b
Wang, Shu G.
148fc79e-ea39-491b-873c-947852088019

Chen, Shu-Heng, Tai, Chung-Ching, Wang, Tzai-Der and Wang, Shu G. (2010) Social simulation with both human agents and software agents: An investigation into the impact of cognitive capacity on their learning behavior. In, Multi-agent applications with evolutionary computation and biologically inspired technologies: Intelligent techniques for ubiquity and optimization. IGI Global, pp. 95-117. (doi:10.4018/978-1-60566-898-7).

Record type: Book Section

Abstract

In this chapter, we will present agent-based simulations as well as human experiments in double auction markets. Our idea is to investigate the learning capabilities of human traders by studying learning agents constructed by Genetic Programming (GP), and the latter can further serve as a design platform in conducting human experiments. By manipulating the population size of GP traders, we attempt to characterize the innate heterogeneity in human being’s intellectual abilities. We find that GP traders are efficient in the sense that they can beat other trading strategies even with very limited learning capacity. A series of human experiments and multi-agent simulations are conducted and compared for an examination at the end of this chapter.

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Published date: 1 July 2010

Identifiers

Local EPrints ID: 468213
URI: http://eprints.soton.ac.uk/id/eprint/468213
PURE UUID: 77ecacbf-d0bf-4fe2-adc2-852497a31542
ORCID for Chung-Ching Tai: ORCID iD orcid.org/0000-0002-2557-177X

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Date deposited: 05 Aug 2022 16:52
Last modified: 06 Aug 2022 02:00

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Contributors

Author: Shu-Heng Chen
Author: Chung-Ching Tai ORCID iD
Author: Tzai-Der Wang
Author: Shu G. Wang

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