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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/64750


    Title: Does Cognitive Capacity Matter when Learning Using Genetic Programming in Double Auction Markets?
    Authors: 陳樹衡
    Chen, Shu-Heng;Tai, Chung-Ching;Wang, Shu G.
    Contributors: 經濟系
    Date: 2010
    Issue Date: 2014-03-20 16:57:15 (UTC+8)
    Abstract: The relationship between human subjects’ cognitive capacity and their economic performances has been noticed in recent years due to the evidence found in a series of cognitive economic experiments. However, there are few agent-based models aiming to characterize such relationship. This paper attempts to bridge this gap and serve as an agent-based model with a focus on agents’ cognitive capacity. To capture the heterogeneity of human cognitive capacity, this paper employs genetic programming as the algorithm of the learning agents, and then uses population size as a proxy parameter of individual cognitive capacity. By modeling agents in this way, we demonstrate a nearly positive relationship between cognitive abilities and economic performance.
    Relation: Multi-Agent-Based Simulation X Lecture Notes in Computer Science Volume 5683, 2010, pp 37-48
    Data Type: book/chapter
    DOI link: http://dx.doi.org/10.1007/978-3-642-13553-8_4
    DOI: 10.1007/978-3-642-13553-8_4
    Appears in Collections:[Department of Economics] Books & Chapters in Books

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