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Abstract: This paper considers resource allocation in a network with mobile agents competing for computational priority. We formulate this problem as a multi-agent game with the players being agents purchasing service from a common server. We show that there exists a computable Nash equilibrium when agents have perfect information into the future. We simulate a network of hosts and agents using our strategy to show that our resource-allocation mechanism effectively prioritizes agents according to their endowments.

Note: Submitted to "Autonomous Agents 2000". See related papers.

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   Jonathan Bredin, Rajiv T. Maheswaran, Cagri Imer, Tamer Basar, David Kotz, and Daniela Rus, "A Game-Theoretic Formulation of Multi-Agent Resource Allocation." Dartmouth Computer Science Technical Report PCS-TR99-360, October 1999.

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