Modeling of Multi-Agents' Coordination

Article Preview

Abstract:

It takes cooperation among multi-user in virtual geographic environment (VGE) based on Multi-Agent System (MAS) in the centralized system as researched object. Then we detailed analyze and research arithmetic of collectivistic operating behaviour learning of Multi-Agent based on Genetic Algorithm (GA). Finally we design an example which shows how 3 evolutional Agents cooperate to complete the task of colony pushing cylinder box.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

222-225

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Lin hui, Zhu Qing, The linguistic characteristics of virtual geographic environments, Journal of Remote Sensing, vol. 9, p.158 –165, (2005).

Google Scholar

[2] Su Chong, Li Hongguang, Based on emotional learning in multi-agent interactive evolutionary , Computation Method of Computer Integrated Manufacturing Systems, vol. 3, pp.617-625, (2012).

Google Scholar

[3] Wang, Zhiyang, Lee, Jina, Marsella, Stacy, Multi-party, multi-role comprehensive listening behavior, Autonomous Agents and Multi-Agent Systems, vol. 27, n. 2, pp.218-234, (2013).

DOI: 10.1007/s10458-012-9215-8

Google Scholar

[4] Liu Chunyang, Tan Yingqing, lui Changan, Ma Yingwei, Multi-Agent Reinforcement Learning in robot soccer in the study and application of Acta, Electronic Sinica, vol. 8, pp.1958-1962, (2010).

Google Scholar

[5] Lin Hui, Huang Fengru, Lu guonian, Virtual geographic environment research and the rise of experimental geography, Acta Geographica Sinica , vol. 64, p.7 –20, (2009).

Google Scholar

[6] Zhang Jiaxiang, Fang Lingjiang, Mao shengli, Based on the MATLAB 6. x system analysis and design of virtual reality", Xi'an: Xi, an Electronic Science and Technology Press , (2002).

Google Scholar