Collective Voice of Experts in Multilateral Negotiation

Taha D. Güneş, Emir Arditi, Reyhan Aydogan

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Inspired from the ideas such as “algorithm portfolio”, “mixture of experts”, and “genetic algorithm”, this paper presents two novel negotiation strategies, which combine multiple negotiation experts to decide what to bid and what to accept during the negotiation. In the first approach namely incremental portfolio, a bid is constructed by asking each negotiation agent’s opinion in the portfolio and picking one of the suggestions stochastically considering the expertise levels of the agents. In the second approach namely crossover strategy, each expert agent makes a bid suggestion and a majority voting is used on each issue value to decide the bid content. The proposed approaches have been evaluated empirically and our experimental results showed that the crossover strategy outperformed the top five finalists of the ANAC 2016 Negotiation Competition in terms of the obtained average individual utility.
Original languageEnglish
Title of host publicationPRIMA 2017: Principles and Practice of Multi-Agent Systems
Subtitle of host publication20th International Conference - Proceedings
EditorsBo An, Ana Bazzan, João Leite, Serena Villata, Leendert van der Torre
Place of PublicationCham
PublisherSpringer
Pages450-458
Number of pages9
ISBN (Electronic)978-3-319-69131-2
ISBN (Print)978-3-319-69130-5
DOIs
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science
Volume10621
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Agreement technologies
  • Automated negotiation
  • Multilateral negotiation
  • Negotiation Competition
  • Multi-agent systems

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  • Cite this

    Güneş, T. D., Arditi, E., & Aydogan, R. (2017). Collective Voice of Experts in Multilateral Negotiation. In B. An, A. Bazzan, J. Leite, S. Villata, & L. van der Torre (Eds.), PRIMA 2017: Principles and Practice of Multi-Agent Systems: 20th International Conference - Proceedings (pp. 450-458). (Lecture Notes in Computer Science; Vol. 10621). Springer. https://doi.org/10.1007/978-3-319-69131-2_27