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An innovative approach for predicting both negotiation deadline and utility in multi-issue negotiation

Journal Article


Abstract


  • In agent negotiation, agents usually need to know their opponents’

    negotiation parameters (i.e preference, deadline, reservation

    utility) to effectively adjust their negotiation strategies, thus an agreement

    can be reached. However, in a competitive negotiation environment,

    agents may not be willing to reveal their negotiation parameters, which

    increases the difficulty of reaching an agreement. In order to solve this

    problem, agents need to have the learning ability to predict their opponents’

    negotiation parameters. In this paper, a Bayesian-based prediction

    approach is proposed to help an agent to predict its opponent’s negotiation

    deadline and reservation utility in bilateral multi-issue negotiation.

    Besides, a concession strategy adjustment algorithm is integrated into

    the proposed prediction approach to improve the negotiation result. The

    experimental results indicate that the proposed approach can increase

    the profit and the success rate of bilateral multi-issue negotiation.

Publication Date


  • 2014

Citation


  • Zhang, J., Ren, F. & Zhang, M. (2014). An innovative approach for predicting both negotiation deadline and utility in multi-issue negotiation. Lecture Notes in Computer Science, 8862 1076-1088.

Scopus Eid


  • 2-s2.0-84911878807

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4131

Number Of Pages


  • 12

Start Page


  • 1076

End Page


  • 1088

Volume


  • 8862

Place Of Publication


  • Germany

Abstract


  • In agent negotiation, agents usually need to know their opponents’

    negotiation parameters (i.e preference, deadline, reservation

    utility) to effectively adjust their negotiation strategies, thus an agreement

    can be reached. However, in a competitive negotiation environment,

    agents may not be willing to reveal their negotiation parameters, which

    increases the difficulty of reaching an agreement. In order to solve this

    problem, agents need to have the learning ability to predict their opponents’

    negotiation parameters. In this paper, a Bayesian-based prediction

    approach is proposed to help an agent to predict its opponent’s negotiation

    deadline and reservation utility in bilateral multi-issue negotiation.

    Besides, a concession strategy adjustment algorithm is integrated into

    the proposed prediction approach to improve the negotiation result. The

    experimental results indicate that the proposed approach can increase

    the profit and the success rate of bilateral multi-issue negotiation.

Publication Date


  • 2014

Citation


  • Zhang, J., Ren, F. & Zhang, M. (2014). An innovative approach for predicting both negotiation deadline and utility in multi-issue negotiation. Lecture Notes in Computer Science, 8862 1076-1088.

Scopus Eid


  • 2-s2.0-84911878807

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/4131

Number Of Pages


  • 12

Start Page


  • 1076

End Page


  • 1088

Volume


  • 8862

Place Of Publication


  • Germany