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A complex contract negotiation model based on hybrid intelligent algorithm

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Abstract

Intelligent negotiation plays an important role in e-commerce. In the research of multi-attribute negotiation, the non-linear relationship between attributes is usually neglected. Multi-attribute multilateral negotiation model with such complex relationship is more practical. In this paper, the building of a multilateral negotiation model of complex contracts with nonlinear dependencies between attributes by applying Multi-Agent System and hybrid intelligent algorithm is studied. And the approximate optimal solution of Nash equilibrium within a certain accuracy range is given. Finally, through simulation examples of multilateral negotiation with two attributes of price and quality, the correctness and validity of the method are verified. The research provides new ideas for intelligent negotiation research.

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Acknowledgements

The authors acknowledge the National Natural Science Foundation of China (Grant: 71540019), Natural Science Foundation of Heilongjiang Province of China (Grant: G2015003).

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Authors and Affiliations

  1. School of Management, Harbin University of Science & Technology, Harbin, China

    Mei Li & Jiasheng Song

  2. School of Management, Heilongjiang University of Science & Technology, Harbin, China

    Mei Li, Gaofei Wang & Peiyou Chen

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  1. Mei Li
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  2. Jiasheng Song
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  3. Gaofei Wang
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  4. Peiyou Chen
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Correspondence to Jiasheng Song.

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Li, M., Song, J., Wang, G. et al. A complex contract negotiation model based on hybrid intelligent algorithm. Cluster Comput 22 (Suppl 6), 14317–14325 (2019). https://doi.org/10.1007/s10586-018-2291-z

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  • DOI: https://doi.org/10.1007/s10586-018-2291-z

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