The Simple-Meta Agent

Chapter
Part of the Studies in Computational Intelligence book series (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.

Keywords

Algorithm selection Machine learning Negotiation 

References

  1. 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)Google Scholar
  2. 2.
    Breiman, L., Friedman, J., Stone, C., Olshen, R.: Classification and Regression Trees. Chapman & Hall, New York (1984)MATHGoogle Scholar
  3. 3.
    Shibata, R.: An optimal selection of regression variables. Biometrika 68(1), 45–54 (1981)CrossRefMATHMathSciNetGoogle Scholar

Copyright information

© Springer Japan 2014

Authors and Affiliations

  1. 1.Ben-Gurion University of the NegevShevaIsrael

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