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On Dynamic Negotiation Strategy for Concurrent Negotiation over Distinct Objects

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Novel Insights in Agent-based Complex Automated Negotiation

Part of the book series: Studies in Computational Intelligence ((SCI,volume 535))

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Abstract

This paper addresses the problem of generating counteroffers by a buyer agent negotiating with multiple seller agents concurrently over multiple distinct negotiation objects. Each object has one provider and characterized by multiple issues, i.e., attributes. Most previous works address negotiation strategies for simpler situations where an agent negotiates with multiple opponents for the purpose of securing an agreement over a single object with either a single negotiation issue or multiple negotiation issues. We propose a novel dynamic negotiation strategy that works in a more complicated negotiation scenario. The strategy involves adaptation of both the initially generated counteroffers and the issues’ counteroffers weight matrix during negotiation. The proposed dynamic strategy takes into consideration the behaviors of the current opponents in terms of their recent concessions to fine-tune the negotiation strategy of the agent in real-time. The initial experimental results show that the proposed mechanism is effective in terms of both the agreement and the utility rates when compared with a static strategy.

This work was initially presented at The Fifth International Workshop on Agent-Based Complex Automated Negotiations (ACAN2012)/AAMAS.

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Authors and Affiliations

  1. Faculty of Information & Communication Technologies, Swinburne University of Technology, Melbourne, VIC, Australia

    Khalid Mansour & Ryszard Kowalczyk

Authors
  1. Khalid Mansour
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  2. Ryszard Kowalczyk
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Corresponding author

Correspondence to Khalid Mansour .

Editor information

Editors and Affiliations

  1. University of Alcala, Alcala de Henares, Spain

    Ivan Marsa-Maestre

  2. University of Alcala, Alcala de Henares, Spain

    Miguel A. Lopez-Carmona

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

    Takayuki Ito

  4. School of Computer Science and Software Engineering, The University of Wollongong, Wollongong, New South Wales, Australia

    Minjie Zhang

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

    Quan Bai

  6. Faculty of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Tokyo, Japan

    Katsuhide Fujita

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Mansour, K., Kowalczyk, R. (2014). On Dynamic Negotiation Strategy for Concurrent Negotiation over Distinct Objects. In: Marsa-Maestre, I., Lopez-Carmona, M., Ito, T., Zhang, M., Bai, Q., Fujita, K. (eds) Novel Insights in Agent-based Complex Automated Negotiation. Studies in Computational Intelligence, vol 535. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54758-7_6

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  • DOI: https://doi.org/10.1007/978-4-431-54758-7_6

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  • Print ISBN: 978-4-431-54757-0

  • Online ISBN: 978-4-431-54758-7

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