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題名:	有關對調適與演化機制的再審思－在財務時間序列資料中應用的統計分析 Rethinking the Appeal of Adaptation and Evolution: Statistical Analysis of Empirical Study in the Financial Time Series
作者:	林維垣
貢獻者:	陳樹衡林維垣
關鍵詞:	調適性演化遺傳演算法投資策略組合結構性變遷人工智慧資料掘取知識統計分析認知心理學 Adaptation Evolution Genetic Algorithms Portfolio Structural Change Artificial Intelligence Knowledge Discovery in Databases Statistical Analysis Cognitive Psychology
日期:	2000
上傳時間:	2016-04-01 17:13:53 (UTC+8)
摘要:	本研究的主要目的是希望喚起國內、外學者對演化科學在經濟學上的重視，結合電腦、生物科技、心理學與數學於經濟學中，希望對傳統經濟學上因簡化假設而無法克服的實際經濟問題，可以利用電腦模擬技術獲得解決，並獲取新知與技能。 Historically, the study of economics has been advanced by a combination of empirical observation and theoretic development. The analysis of mathematical equilibrium in theoretical economic models has been the predominant mode of progress in recent decades. Such models provide powerful insights into economic processes, but usually make restrictive assumptions and appear to be over simplifications of complex economic system. However, the advent of cheap computing power and new intelligent technologies makes it possible to delve further into some of the complexities inherent in the real economy. It is now feasible to create a rudimentary form of “artificial economic life”.
描述:	博士國立政治大學經濟學系
資料來源:	http://thesis.lib.nccu.edu.tw/record/#A2002000468
資料類型:	thesis
顯示於類別:	[經濟學系] 學位論文

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