A Comparative Study on Vector Similarity Methods for Offer Generation in Multi-attribute Negotiation

Aodah DIAMAH, Michael WAGNER, Menkes van den Briel

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

Offer generation is an important mechanism in automated negotiation, in which a negotiating agent needs to select bids close to the opponent preference to increase their chance of being accepted. The existing offer generation approaches are either random, require partial knowledge of opponent preference or are domain-dependent. In this paper, we investigate and compare two vector similarity functions for generating offer vectors close to opponent preference. Vector similarities are not domain-specific, do not require different similarity functions for each negotiation domain and can be computed in incomplete-information negotiation. We evaluate negotiation outcomes by the joint gain obtained by the agents and by their closeness to Pareto-optimal solutions
Original languageEnglish
Title of host publicationAI 2015: Advances in Artificial Intelligence
Subtitle of host publication28th Australasian Joint Conference Proceedings
EditorsJochen Renz, Bernhard Pfahringer
Place of PublicationAustralia
PublisherSpringer
Pages149-156
Number of pages8
Volume9457
ISBN (Electronic)9783319263502
ISBN (Print)9783319263496
DOIs
Publication statusPublished - 22 Nov 2015
Event28th Australasian Joint Conference on Artificial Intelligence, AI 2015: Advances in Artificial Intelligence (AI 2015) - Canberra, Canberra, Australia
Duration: 30 Nov 20154 Dec 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9457
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference28th Australasian Joint Conference on Artificial Intelligence, AI 2015
Abbreviated titleAI 2015
CountryAustralia
CityCanberra
Period30/11/154/12/15

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    DIAMAH, A., WAGNER, M., & van den Briel, M. (2015). A Comparative Study on Vector Similarity Methods for Offer Generation in Multi-attribute Negotiation. In J. Renz, & B. Pfahringer (Eds.), AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference Proceedings (Vol. 9457, pp. 149-156). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9457). Springer. https://doi.org/10.1007/978-3-319-26350-2_13