Automated multi-attribute negotiation with efficient use of incomplete preference information

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33 Citations (Scopus)

Abstract

This paper presents a model for integrative, one-to-one negotiation in which the values across multiple attributes are negotiated simultaneously. We model a mechanism in which agents are able to use any amount of incomplete preference information revealed by the negotiation partner in order to improve the efficiency of the reached agreements. Moreover, we show that the outcome of such a negotiation can be further improved by incorporating a "guessing" heuristic, by which an agent uses the history of the opponent's bids to predict his preferences. Experimental evaluation shows that the combination of these two strategies leads to agreement points close to or on the Pareto-efficient frontier. The main original contribution of this paper is that it shows that it is possible for parties in a cooperative negotiation to reveal only a limited amount of preference information to each other, but still obtain significant joint gains in the outcome.

Original languageEnglish
Title of host publicationProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
PublisherAssociation for Computing Machinery (ACM)
Pages1056-1063
Number of pages8
ISBN (Print)1581138644, 9781581138641
DOIs
Publication statusPublished - 1 Jan 2004
Externally publishedYes
EventProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004 - New York, NY, United States
Duration: 19 Jul 200423 Jul 2004

Publication series

NameProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
Volume3

Conference

ConferenceProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004
CountryUnited States
CityNew York, NY
Period19/07/0423/07/04

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