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    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/83841


    Title: 遺傳演算法在演化賽局上之應用:策略生態之模擬、計算與分析
    Authors: 倪志琦
    Contributors: 陳樹衡
    倪志琦
    Keywords: 遺傳演算法
    寡占賽局
    agent-based計算經濟
    演化賽局
    連鎖店賽局
    共演化特性
    狀態相依馬可夫移轉矩陣
    genetic algorithms
    oligopoly game
    agent-based computational economic
    evolutionary game
    chain store game
    coevolutionary
    state-dependent Markov transition matrix
    Date: 1999
    Issue Date: 2016-04-01 17:13:21 (UTC+8)
    Abstract: 本論文主要是在agent-based計算經濟體系下,利用Holland(1975)所提的遺傳演算法(genetic algorithms)作為計算工具,分別探討連鎖店賽局及寡占市場廠商價格策略的生態演化。
    Recently, genetic algorithms have been extensively applied to modeling evolution game in agent-based computational economic. While these applications advance our understanding of evolution game, they have generated some new phenomena that have not been well treated in conventional game theory.
    Description: 博士
    國立政治大學
    經濟學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#A2002000462
    Data Type: thesis
    Appears in Collections:[經濟學系] 學位論文

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