An automated agent for bilateral negotiation with bounded rational agents with incomplete information

Raz Lin, Sarit Kraus, Jonathan Wilkenfeld, James Barry

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

28 Scopus citations

Abstract

Many day-to-day tasks require negotiation, mostly under conditions of incomplete information. In particular, the opponent's exact tradeoff between different offers is usually unknown. We propose a model of an automated negotiation agent capable of negotiating with a bounded rational agent (and in particular, against humans) under conditions of incomplete information. Although we test our agent in one specific domain, the agent's architecture is generic; thus it can be adapted to any domain as long as the negotiators' preferences can be expressed in additive utilities. Our results indicate that the agent played significantly better, including reaching a higher proportion of agreements, than human counterparts when playing one of the sides, while when playing the other side there was no significant difference between the results of the agent and the human players.

Original languageEnglish
Title of host publicationECAI 2006
Subtitle of host publication17th European Conference on Artificial Intelligence August 29 - September 1, 2006, Riva del Garda, Italy
EditorsGerhard Brewka, Silvia Coradeschi, Anna Perini, Paolo Traverso
PublisherIOS Press BV
Pages270-274
Number of pages5
ISBN (Print)9781586036423
StatePublished - 2006

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume141
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Bibliographical note

Funding Information:
1 This research was supported in part by NSF under grant #IIS-0208608. 2 Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel 52900. email: {linraz,sarit}@cs.biu.ac.il 3 Institute of Advanced Computer Studies, University of Maryland. 4 Department of Government and Politics, University of Maryland, College Park, Maryland. email: [email protected] 5 Center for International Development and Conflict Management, University of Maryland, College Park, Maryland. email: [email protected]

Funding

1 This research was supported in part by NSF under grant #IIS-0208608. 2 Department of Computer Science, Bar-Ilan University, Ramat-Gan, Israel 52900. email: {linraz,sarit}@cs.biu.ac.il 3 Institute of Advanced Computer Studies, University of Maryland. 4 Department of Government and Politics, University of Maryland, College Park, Maryland. email: [email protected] 5 Center for International Development and Conflict Management, University of Maryland, College Park, Maryland. email: [email protected]

FundersFunder number
National Science Foundation-0208608

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