By Topic

Adaptive coordination of agents for timely and resource-bounded information monitoring

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
$33 $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)
Rey-Long Liu ; Dept. of Inf. Manage., Chung Hua Univ., Taiwan ; Szu-Yin Lin

Effective decision making often relies on timely information monitoring, which aims to capture the newest status of the critical information items that are updated in different ways. In this paper, we develop an adaptive agent coordination strategy ACAIM for directing the limited resources to the timely identification of important information updates. ACAIM automatically adapts its coordination strategy by observing each agent's performance of finding important information updates. Resource conflicts among agents are resolved by granting more requests from those agents that are expected to find important information updates. We also set up a list of evaluation criteria and experiments to evaluate those coordination strategies designed for timely and resource-bounded information monitoring. The result shows that ACAIM may achieve the more timely identification of important information updates using a controlled amount of system resources

Published in:

MultiAgent Systems, 2000. Proceedings. Fourth International Conference on

Date of Conference: