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The Simple-Meta Agent

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Novel Insights in Agent-based Complex Automated Negotiation

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

Abstract

The Simple-Meta agent uses machine learning to select the negotiation strategy that is predicted to be most successful based on structural features of the domain.

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Notes

  1. 1.

    We assume a one-to-one correspondence between an agent i ∈ A and its negotiation strategy; we use i to refer to either.

References

  1. Lin, R., Kraus, S., Baarslag, T., Tykhonov, D., Hindriks, K.V., Jonker, C.M.: Genius: an integrated environment for supporting the design of generic automated negotiators. Comput. Intell. (2012)

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  2. Breiman, L., Friedman, J., Stone, C., Olshen, R.: Classification and Regression Trees. Chapman & Hall, New York (1984)

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  3. Shibata, R.: An optimal selection of regression variables. Biometrika 68(1), 45–54 (1981)

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Author information

Authors and Affiliations

  1. Ben-Gurion University of the Negev, Sheva, Israel

    Litan Ilany & Ya’akov (Kobi) Gal

Authors
  1. Litan Ilany
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  2. Ya’akov (Kobi) Gal
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Corresponding author

Correspondence to Litan Ilany .

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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© 2014 Springer Japan

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Ilany, L., Gal, Y.(. (2014). The Simple-Meta Agent. 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_14

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  • DOI: https://doi.org/10.1007/978-4-431-54758-7_14

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  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-54757-0

  • Online ISBN: 978-4-431-54758-7

  • eBook Packages: EngineeringEngineering (R0)

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