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

An efficient information sharing approach for large scale multi-agent team

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

4 Author(s)
Xu, Y. ; Sch. of Inf. Sci., Univ. of Pittsburgh, Pittsburgh, PA ; Lewis, M. ; Sycara, K. ; Scerri, P.

Effective communication among agents in large teams is crucial because the members share a common goal but only have a partial views of the environment. Information sharing is difficult in a large team because, a team member may have a piece of valuable information but not know who needs the information, since it is infeasible to know what each other agent is doing. Although much related work has been done on efficient delivery of information, most work is based on assumptions which are not suited to large scale multiagent teams. In this paper, we made two contributions. Firstly, we present a solution to sharing information that is applicable to large teams based on previous research. A key to the solution is imposing a static network topology on the members of the team where each agent requiring communication to be only along very few links in that network. The key observation underlying this solution is that each piece of information is interrelated and the sender of a piece of information can ldquoguessrdquo who might need some information based on previously sent messages. Thus, when an agent has a piece of information, it can determine which of its neighbors in the network is most likely to either need the information or know who does, based on related messages previously received. Secondly, we investigate the influence of different types of team network topology on the efficiency of information sharing. Our results show that our algorithm works with various topologies but gets the best performance on a scale free network.

Published in:

Information Fusion, 2008 11th International Conference on

Date of Conference:

June 30 2008-July 3 2008

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.