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Collective Voice of Experts in Multilateral Negotiation

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PRIMA 2017: Principles and Practice of Multi-Agent Systems (PRIMA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10621))

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.

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Notes

  1. 1.

    http://web.tuat.ac.jp/%7Ekatfuji/ANAC2016/.

  2. 2.

    http://ii.tudelft.nl/genius/.

  3. 3.

    http://web.tuat.ac.jp/~katfuji/ANAC2016/.

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Acknowledgments

We thank Burak Atalay and Bahadır Kırdan for their help in implementation of the initial agent. This work was supported by the ITEA M2MGrids Project, grant number ITEA141011.

Author information

Authors and Affiliations

  1. Agents, Interaction and Complexity Group, University of Southampton, Southampton, UK

    Taha D. Güneş

  2. Department of Computer Science, Özyeğin University, Istanbul, Turkey

    Taha D. Güneş, Emir Arditi & Reyhan Aydoğan

  3. Interactive Intelligence Group, Delft University of Technology, Delft, The Netherlands

    Reyhan Aydoğan

  4. Frontier Research Institute for Information Science, Nagoya Institute of Technology, Nagoya, Japan

    Reyhan Aydoğan

Authors
  1. Taha D. Güneş
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  2. Emir Arditi
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  3. Reyhan Aydoğan
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Corresponding author

Correspondence to Taha D. Güneş .

Editor information

Editors and Affiliations

  1. Nanyang Technological University, Singapore, Singapore

    Bo An

  2. Universidade Federal Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil

    Ana Bazzan

  3. Universidade Nova de Lisboa, Caparica, Portugal

    João Leite

  4. Université Côte d’Azur, Sophia Antipolis, France

    Serena Villata

  5. University of Luxembourg, Esch-sur-Alzette, Luxembourg

    Leendert van der Torre

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Güneş, T.D., Arditi, E., Aydoğan, R. (2017). Collective Voice of Experts in Multilateral Negotiation. In: An, B., Bazzan, A., Leite, J., Villata, S., van der Torre, L. (eds) PRIMA 2017: Principles and Practice of Multi-Agent Systems. PRIMA 2017. Lecture Notes in Computer Science(), vol 10621. Springer, Cham. https://doi.org/10.1007/978-3-319-69131-2_27

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  • DOI: https://doi.org/10.1007/978-3-319-69131-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69130-5

  • Online ISBN: 978-3-319-69131-2

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