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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.
Submitted to "Autonomous Agents 2000".
See related papers.
Bibliographic citation for this report: [plain text] [BIB] [BibTeX] [Refer]
Or copy and paste:
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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