DocumentCode
3005995
Title
How to Make the Quantitative Analysis in Evolutionary Game Theory? A Forecasting Analysis of Chinese Rural Labor Transfer
Author
De-Hai Liu ; Wei-Guo Wang
Author_Institution
Sch. of Math. & Quantitative Econ., Dongbei Univ. of Finance & Econ., Dalian
fYear
2008
fDate
25-26 Sept. 2008
Firstpage
83
Lastpage
87
Abstract
Based on the perfect rationality and common knowledge theoretically hypotheses, the out-of-equilibrium outcome or out of subgame perfect equilibrium path couldn´t achieve in traditional game theory. Evolutionary game theory analyzes the population´s dispersive behaviors under the bounded rational hypothesis. The theoretical payoffs of different strategies are decided by the practical observed outcome, so we can make the quantitative analysis. The paper puts forward the basic method for the evolutionary game quantitative analysis in social economy system, including bounded rationality derived from individual local information, imitation derived from local search decision-making and the social statistical investigating data reflected the total interactional outcome of social populations. At last, as a case of quantitative forecasting analysis, Chinese rural labor transferring course should be discussed.
Keywords
decision making; economic forecasting; evolutionary computation; game theory; labour resources; macroeconomics; search problems; Chinese rural labor transfer; bounded rational hypothesis; evolutionary game quantitative analysis; local search decision-making; quantitative forecasting analysis; social economy system; social statistical analysis; Bayesian methods; Biological system modeling; Dispersion; Economic forecasting; Environmental economics; Game theory; Genetics; Mathematics; Robustness; Uncertainty; Chinese rural labor transfer; evolutionary game; long-term forecasting; quantitative analysis method;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2008. WGEC '08. Second International Conference on
Conference_Location
Hubei
Print_ISBN
978-0-7695-3334-6
Type
conf
DOI
10.1109/WGEC.2008.59
Filename
4637400
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