Title :
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
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;
Conference_Titel :
Management Science and Industrial Engineering (MSIE), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8383-9
DOI :
10.1109/MSIE.2011.5707717
