Towards belief revision logic based adaptive and persuasive negotiation agents

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

7 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)605-614
Journal / PublicationLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3157
Publication statusPublished - 2004
Externally publishedYes

Conference

Title8th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2004: Trends in Artificial Intelligence
PlaceNew Zealand
CityAuckland
Period9 - 13 August 2004

Abstract

Human negotiators can persuade the opponents to revise their beliefs in order to maximise the chance of reaching an agreement. Existing negotiation models are weak in supporting persuasive negotiations. This paper illustrates an adaptive and persuasive negotiation agent model, which is underpinned by a belief revision logic. These belief-based negotiation agents are able to learn from the changing negotiation contexts and persuade their opponents to change their positions. Our preliminary experiments show that the belief-based adaptive negotiation agents outperform a classical negotiation model under time pressure. © Springer-Verlag Berlin Heidelberg 2004.