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Agent Buyog: A Negotiation Strategy for Tri-Party Multi Issue Negotiation

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Modern Approaches to Agent-based Complex Automated Negotiation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 674))

Abstract

The 2015 edition of the Automated Negotiation Agents Competition (ANAC) was the first in its history to introduce multi-party negotiation. To this end, we present the strategy of Agent Buyog, a finalist of the competition. The strategy is based on determining which of the opponent agents is harder to strike a deal with and conceding just enough to please that opponent. This paper aims at outlining various aspects of the strategy such as opponent modeling, concession strategies, bidding strategies and acceptance criteria. It further discusses the limitations of the strategy and discusses possible improvements.

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Notes

  1. 1.

    Upon empirical testing the learned Kalai Point was found to be roughly 0.1 lesser than the actual Kalai Point. Hence, an offset was made to the learned Kalai Point.

References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Bhargav Sosale & Bo An

  2. Dept. of Electronics and Communication, B.M.S. College of Engineering, Bangalore, India

    Swarup Satish

Authors
  1. Bhargav Sosale
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  2. Swarup Satish
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  3. Bo An
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Corresponding author

Correspondence to Swarup Satish .

Editor information

Editors and Affiliations

  1. Tokyo University of Agriculture and Technology, Tokyo, Japan

    Katsuhide Fujita

  2. School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand

    Quan Bai

  3. School of Techno-Business Administration, Nagoya Institute of Technology, Nagoya, Japan

    Takayuki Ito

  4. School of Computing and Information Technology, University of Wollongong, Wollongong, New South Wales, Australia

    Minjie Zhang

  5. School of Computing and Information Technology, University of Wollongong, Wollongong, New South Wales, Australia

    Fenghui Ren

  6. Ozyegin University, Istanbul, The Netherlands

    Reyhan AydoÄŸan

  7. Department of Computer Science and Engineering, Graduate School of Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Rafik Hadfi

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Sosale, B., Satish, S., An, B. (2017). Agent Buyog: A Negotiation Strategy for Tri-Party Multi Issue Negotiation. In: Fujita, K., et al. Modern Approaches to Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 674. Springer, Cham. https://doi.org/10.1007/978-3-319-51563-2_14

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  • DOI: https://doi.org/10.1007/978-3-319-51563-2_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51561-8

  • Online ISBN: 978-3-319-51563-2

  • eBook Packages: EngineeringEngineering (R0)

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