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Efficient Deal Identification for the Constraints Based Utility Space Model

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Complex Automated Negotiations: Theories, Models, and Software Competitions

Part of the book series: Studies in Computational Intelligence ((SCI,volume 435))

Abstract

We propose correct and efficient algorithms for locating the optimal contract of negotiating agents that represent their utility space with the constraints based utility space model. It is argued that the agents that use the model can be classified in to two extreme kinds: sensitive and insensitive. When the negotiation is between a sensitive agent and many in- sensitive agents, the optimal contract can be computed correctly and efficiently by avoiding Exhaustive Matching.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Nagoya Institute of Technology, Nagoya, Japan

    Raiye Hailu

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

    Takayuki Ito

Authors
  1. Raiye Hailu
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  2. Takayuki Ito
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Corresponding author

Correspondence to Raiye Hailu .

Editor information

Editors and Affiliations

  1. Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho, Nagoya, Showa, 466-8555, Japan

    Takayuki Ito

  2. School of Information Technology &, Computer Science, University of Wollongong, Northfields Avenue, Wollongong, 2522, New South Wales, Australia

    Minjie Zhang

  3. , School of Electronics and Computer Scien, University of Southampton, University Road, Southampton, SO17 1BJ, United Kingdom

    Valentin Robu

  4. Industrial Technology, Advanced Institute of, Higashi-Oi 1-10-40, Shinagawa, 140-0011, Tokyo, Japan

    Tokuro Matsuo

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© 2013 Springer-Verlag Berlin Heidelberg

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Hailu, R., Ito, T. (2013). Efficient Deal Identification for the Constraints Based Utility Space Model. In: Ito, T., Zhang, M., Robu, V., Matsuo, T. (eds) Complex Automated Negotiations: Theories, Models, and Software Competitions. Studies in Computational Intelligence, vol 435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30737-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-30737-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30736-2

  • Online ISBN: 978-3-642-30737-9

  • eBook Packages: EngineeringEngineering (R0)

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