ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2019, Vol. 56 ›› Issue (12): 2612-2622.doi: 10.7544/issn1000-1239.2019.20190163

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Agent Negotiation Model Based on Round Limit Change of Non-Sparse Trust Networks

Wang Jindi, Tong Xiangrong   

  1. (School of Computer and Control Engineering, Yantai University, Yantai, Shandong 264005)
  • Online:2019-12-01

Abstract: In the process of multiple Agent negotiation, trust value attracted less attention in related works. In fact, trust value will directly affect the utility and strategy of negotiation. Most of previous works researched direct trust. However, it will lead to the sparse of trust relationship matrix if lacks the direct trust relationship, which may reduce the using efficiency of trust relationships. In addition, most related works ignored the influence of trust on negotiation strategy and negotiation rounds. According to the problems, this paper considers the indirect trust and direct trust through trust transfer to form a non-sparse trust network. Therefore, Agent could select reliable negotiation rivals based on the trust values of bidders. Facing the negotiation rivals with different trust values, Agent will adopt different strategies. The paper improves the round limit function and bidding function in negotiation model. Agent will pay more patience to the rivals with high trust values. Therefore, the round limit and bidding space will be extended and bidding will be properly increased, while the rivals with low trust values will be conducted reverse operations. Comparison experiments prove that new model is more reliable than those models that do not consider trust attribute. The negotiation model has better performance on success rate and utility of negotiation.

Key words: negotiation model, trust network, negotiation round, negotiation strategy, multi-agent system

CLC Number: