Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Research on a Novel Multi Agent System Cooperation Operation Model

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

2 Author(s)
Pu Wang ; Central South Univ., Changsha ; Ling Peng

Multi-agent system has been known to provide distributed and collaborate problems solving environment. Each agent can work with itself knowledge base to improve the properties of reliability and real time of system. Currently the main description methods of agents are formalized languages, but the description capability of these languages about activity, interaction and evolution of agents is deficiency obviously. This paper abstracts the attributes and performance of agents by using algebra theory, puts forward the new concepts of innovation operation, cooperating operation and condition operation, and investigates properties and relations among them. It proves that the set of all agents of a multi-agent system and its innovation operation and condition operation form a semi-group respectively, the set and its cooperation form a commutative semi-group. The operation theory of agents proposed in this paper provides a new kind of method of agent description and established theoretic basis of more researches on agents and provides theoretic guidance for multi-agent system development.

Published in:

Pervasive Computing and Applications, 2007. ICPCA 2007. 2nd International Conference on

Date of Conference:

26-27 July 2007