DocumentCode
2655891
Title
The Selection Dynamic Model Considering Anticipation in Social Population Learning
Author
De-hai, LIU ; Wei-guo, WANG
Author_Institution
Dongbei Univ. of Finance & Econ., Dalian
fYear
2007
fDate
20-22 Aug. 2007
Firstpage
2449
Lastpage
2454
Abstract
The existing selection dynamic models in evolutionary game theory are still localized in the myopia hypothesis. This paper analyzes the social population have some anticipated ability, so they will consider the current payoff, the learning barriers and the payoff increasing rate, that´s the anticipative future payoff, when changing the current strategy. The paper describes the selected dynamic model considering anticipation based on the Sethi (1998), and proves that this model doesn´t accord with the weak payoff-positive dynamic. The population behavior hypothesis that they have some anticipated ability is fit for the social economy evolutionary phenomenon. At last, the paper analyzes a case that´s the Chinese rural labor transfer problem, where the existing research shows that the rural labor transfer behavior accords with the imitating behavior hypothesis, and uses the selection dynamic model considering anticipation to forecast the Chinese rural labor transferring trend until the 2050 year.
Keywords
game theory; social sciences; Chinese rural labor transfer problem; evolutionary game theory; learning barriers; myopia hypothesis; rural labor transfer behavior; social economy evolutionary phenomenon; social population learning; Conference management; Economic forecasting; Engineering management; Finance; Financial management; Game theory; Learning systems; Mathematical model; Mathematics; Technology management; anticipation; evolutionary game theory; rural labor transfer; selection dynamic model; social population learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2007. ICMSE 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-7-88358-080-5
Electronic_ISBN
978-7-88358-080-5
Type
conf
DOI
10.1109/ICMSE.2007.4422205
Filename
4422205
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