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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/64758

    Title: Social Simulation with Both Human Agents and Software Agents: An Investigation into the Impact of Cognitive Capacity to Their Learning Behavior
    Authors: Chen, Shu-Heng;Tai, C.-C.;Wang, T.-D.;Wang, S G
    Contributors: 經濟系
    Date: 2011
    Issue Date: 2014-03-20 17:08:22 (UTC+8)
    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.
    Relation: Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, IGI Global, chapter 6, 95-117
    Data Type: book/chapter
    DOI 連結: http://dx.doi.org/10.4018/978-1-60566-898-7.ch006
    DOI: 10.4018/978-1-60566-898-7.ch006
    Appears in Collections:[經濟學系] 專書/專書篇章

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