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Multiagent negotiation for fair and unbiased resource allocation

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  • Iyer, Karthik
  • Huhns, Michael

Abstract

This paper proposes a novel solution for the n agent cake cutting (resource allocation) problem. We propose a negotiation protocol for dividing a resource among n agents and then provide an algorithm for allotting portions of the resource. We prove that this protocol can enable distribution of the resource among n agents in a fair manner. The protocol enables agents to choose portions based on their internal utility function, which they do not have to reveal. In addition to being fair, the protocol has desirable features such as being unbiased and verifiable while allocating resources. In the case where the resource is two-dimensional (a circular cake) and uniform, it is shown that each agent can get close to l/n of the whole resource.

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File URL: http://mpra.ub.uni-muenchen.de/145/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 145.

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Date of creation: Oct 2005
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Handle: RePEc:pra:mprapa:145

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Related research

Keywords: Utility theory ; Utility function ; Bargaining ; Artificial intelligence ; Resource allocation ; Multiagent system;

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