Multi-agent simulation for the evolution of enterprise community in the network society based on Swarm and EGT

Author

Bing, Bai ; Xiuquan, Deng ; Dehua, Gao

Author_Institution

Sch. of Econ. & Manage., Beihang Univ., Beijing, China

fYear

2011

fDate

8-11 Jan. 2011

Firstpage

282

Lastpage

286

Abstract

The purpose of this research is to address the evolution of enterprise communities in the network society. Based on evolutionary game theory (EGT) and complex adaptive system (CAS) theory, this paper built an evolutionary game model of enterprise communities, and realized the simulation by Swarm. The results show that the evolution of enterprise communities is a dynamic adaptive process. Under the assumption of limited rationality, the enterprise communities gradually find the optimal strategy through adaptive learning, and finally the evolution reaches an equilibrium stage.

Keywords

adaptive systems; business data processing; game theory; multi-agent systems; social networking (online); complex adaptive system theory; enterprise community evolution; evolutionary game theory; multi-agent simulation; network society; swarm intelligence; Adaptation model; Adaptive systems; Analytical models; Biological system modeling; Communities; Game theory; Games; complex adaptive system; enterprise community; evolution; evolutionary game theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Industrial Engineering (MSIE), 2011 International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-8383-9

Type

conf

DOI

10.1109/MSIE.2011.5707717

Filename

5707717