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
Link To Document :
بازگشت