A game-theoretic formulation of multi-agent resource allocation

Jonathan Bredin, Rajiv Maheswaran, Çagri Imer, Tamer Başar, David Kotz, Daniela Rus

2000 · 77 citations · 14 references

Concepts

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.

References

14