A complex contract negotiation model based on hybrid intelligent algorithm

被引:1
作者
Li, Mei [1 ,2 ]
Song, Jiasheng [1 ]
Wang, Gaofei [2 ]
Chen, Peiyou [2 ]
机构
[1] Harbin Univ Sci & Technol, Sch Management, Harbin, Heilongjiang, Peoples R China
[2] Heilongjiang Univ Sci & Technol, Sch Management, Harbin, Heilongjiang, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / Suppl 6期
基金
黑龙江省自然科学基金; 中国国家自然科学基金;
关键词
Complex contract; Negotiation model; Intelligent algorithm; MAS; ISSUE NEGOTIATION; AGENTS;
D O I
10.1007/s10586-018-2291-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:14317 / 14325
页数:9
相关论文
共 16 条
  • [1] Mobile agents for a brokering service in the electronic marketplace
    Du, TC
    Li, EY
    Wei, E
    [J]. DECISION SUPPORT SYSTEMS, 2005, 39 (03) : 371 - 383
  • [2] Efficient issue-grouping approach for multiple interdependent issues negotiation between exaggerator agents
    Fujita, Katsuhide
    Ito, Takayuki
    Klein, Mark
    [J]. DECISION SUPPORT SYSTEMS, 2014, 60 : 10 - 17
  • [3] Haleema P. K, 2017, J KING SAUD U COMPUT
  • [4] An agent-based fuzzy constraint-directed negotiation model for solving supply chain planning and scheduling problems
    Hsu, Chia-Yu
    Kao, Bo-Ruei
    Ho, Van Lam
    Li, Lin
    Lai, K. Robert
    [J]. APPLIED SOFT COMPUTING, 2016, 48 : 703 - 715
  • [5] Ito T, 2007, 20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, P1347
  • [6] Beyond Dynamic Pricing: Dynamic Product Configuration with Auction/Negotiation Mechanisms
    Kersten, Gregory E.
    Al-Basha, Feras
    [J]. IFAC PAPERSONLINE, 2015, 48 (03): : 1853 - 1856
  • [7] Negotiating complex contracts
    Klein, M
    Faratin, P
    Sayama, H
    Bar-Yam, Y
    [J]. GROUP DECISION AND NEGOTIATION, 2003, 12 (02) : 111 - 125
  • [8] An adaptive fuzzy logic system for automated negotiations
    Kolomvatsos, Kostas
    Trivizakis, Dimitrios
    Hadjiefthymiades, Stathes
    [J]. FUZZY SETS AND SYSTEMS, 2015, 269 : 135 - 152
  • [9] Whom should I persuade during a negotiation? An approach based on social influence maximization
    Monteserin, Ariel
    Amandi, Analia
    [J]. DECISION SUPPORT SYSTEMS, 2015, 77 : 1 - 20
  • [10] An Approach on Multilateral Automated Negotiation
    Patrikar, Madhur
    Vij, Sheetal
    Mukhopadhyay, Debajyoti
    [J]. PROCEEDINGS OF 4TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL(ICAC3'15), 2015, 49 : 298 - 305