Cart (Loading....) | Create Account
Close category search window

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bai Bing ; Sch. of Econ. & Manage., Beihang Univ., Beijing, China ; Deng Xiuquan ; Gao Dehua

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.

Published in:

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

Date of Conference:

8-11 Jan. 2011

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.