NDLI: Cooperative graph search by a system of autonomous agents

Content Provider	IEEE Xplore Digital Library
Author	Hill, J.C. Nokleby, M.S. Archibald, J.K. Frost, R.L. Stirling, W.C.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA (Hill, J.C.; Nokleby, M.S.; Archibald, J.K.; Frost, R.L.; Stirling, W.C.)
Abstract	Searching a random graph is known to be computationally complex. The classic example for the single agent case is the traveling salesman problem. In this paper, we generalize to the multi-agent case where n autonomous agents must cooperate to visit all the nodes of a random graph in an efficient manner. We impose a limitation on the agent's ability to communicate with each other. A satisficing game approach is ideally suited to this problem since it accommodates multiple solutions for each player and provides the opportunity for negotiation. We demonstrate performance of this approach on both deterministic and random graphs with up to 100 nodes.
Starting Page	121
Ending Page	126
File Size	195449
Page Count	6
File Format	PDF
ISBN	0780392981
DOI	10.1109/ICSMC.2005.1571132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Autonomous agents Game theory Decision making Design methodology Utility theory Multiagent systems Traveling salesman problems Air traffic control Reconnaissance Manufacturing automation negotiation Satisficing multi-agent coordination
Content Type	Text
Resource Type	Article

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