ANAC 2017: Repeated Multilateral Negotiation League

Aydo Reyhan, Katsuhide Fujita, Tim Baarslag, Catholijn M. Jonker, Takayuki Ito

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    Abstract

    The Automated Negotiating Agents Competition (ANAC) is annually organized competition to facilitate the research on automated negotiation. This paper presents the ANAC 2017 Repeated Multilateral Negotiation League. As human negotiators do, agents are supposed to learn from their previous negotiations and improve their negotiation skills over time. Especially, when they negotiate with the same opponent on the same domain, they can adopt their negotiation strategy according to their past experiences. They can adjust their acceptance threshold or bidding strategy accordingly. In ANAC 2017, participants aimed to develop such a negotiating agent. Accordingly, this paper describes the competition settings and results with a brief description of the winner negotiation strategies.
    Original languageEnglish
    Title of host publicationAdvances in Automated Negotiations
    EditorsTakayuki Ito, Minjie Zhang, Reyhan Aydogan
    Place of PublicationSingapore
    PublisherSpringer
    Pages101-115
    Number of pages15
    ISBN (Print)9789811558689
    DOIs
    Publication statusPublished - 2021

    Publication series

    NameStudies in Computational Intelligence
    Volume905
    ISSN (Print)1860-949X
    ISSN (Electronic)1860-9503

    Bibliographical note

    Funding Information:
    Acknowledgements This work is part of the Veni research program with project number 639.021.751, which is financed by the Netherlands Organisation for Scientific Research (NWO) and by the ITEA M2MGrids Project, grant number ITEA141011.

    Publisher Copyright:
    © 2021, Springer Nature Singapore Pte Ltd.

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