DocumentCode :
483307
Title :
Study on Evolutionarily Stable Strategies (ESS) in SME Clusters
Author :
Enping Shen ; Zuobing Fan
Author_Institution :
Sch. of Manage., Hangzhou Dianzi Univ., Hangzhou
fYear :
2009
fDate :
23-25 Jan. 2009
Firstpage :
745
Lastpage :
748
Abstract :
Evolutionarily stable strategies (ESS) is used between species co-exist in small medium enterprise (SME) clusters. We assume that each of the potential helpers knows the otherspsila strategies in cluster in this paper. We show that the ability to observe their realizations influences the evolutionarily stable strategies (ESS) of the game. According to our results, under the partial information structure ESS do not always exist. No assistance and immediate assistance are possible ESS, while delayed assistance cannot be an ESS. This paper considers a symmetric conflict, all the potential helpers have the same strategy sets and they all play the same role. A general game theoretical model is developed under one information structures: partial information. At the same time we apply our model to study of the assistance in SME clusters.
Keywords :
evolutionary computation; game theory; pattern clustering; small-to-medium enterprises; SME clusters; evolutionarily stable strategies; game theoretical model; information structures; partial information; small medium enterprise; Animals; Costs; Data mining; Delay; Electronic switching systems; Environmental economics; Game theory; Knowledge management; Probability distribution; Random variables; Evolutionarily stable strategies(ESS); Small medium enterprise (SME); evolution game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
Conference_Location :
Moscow
Print_ISBN :
978-0-7695-3543-2
Type :
conf
DOI :
10.1109/WKDD.2009.72
Filename :
4772043
Link To Document :
بازگشت