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Research of Bilateral Multi-issue Negotiation Related Techniques Based on Fuzzy Theory

Author: QinHaiLi
Tutor: ZhengZhiQiang；ZhangHui
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: Multi-Agent Systems Auto-Negotiation Bilateral Multi-issue negotiation model Proposal generation strategy
CLC: TP18
Type: Master's thesis
Year: 2008
Downloads: 53
Quote: 1
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Abstract


Bilateral negotiation strategy mechanism is the multi-agent (Multi-Agent System, MAS) an important research direction. In this paper, the full research related auto-negotiation theory and technology, based on the auto-negotiation for MAS technology in auto-negotiation strategy models and carried out research proposals generated. First, a brief introduction of the auto-negotiation MAS basic concepts, types, and measure results of the consultation, a detailed analysis of bilateral multi-issue automatic negotiation system characteristics, parameters and communication language. Then, we propose a qualitative issues including bilateral multi-issue automatic negotiation model Multi-Agent Systems: Improved MMAN, gives its formal description and carefully designed and discussed the issues involved in the model expression, utility evaluation mechanisms, negotiation protocol, Agent description, time-dependent strategies proposed to generate content. Compared to the existing research, improved use of fuzzy sets MMAN model can better handle negotiation qualitative issues. Closeness of the use of fuzzy set concepts, definitions, a reasonable qualitative issues utility function, the qualitative and quantitative issues of integration issues at the same effectiveness evaluation framework. Design issues of the time dependence of the qualitative proposal generation strategy, making improvements MMAN model not only can deal with quantitative issues, but also to deal with the qualitative issues, with more practicality. Also amended the evaluation of the effectiveness of existing studies, topics utility value can not be normalized error, making the integration of utility computing, the topic weights can really play its role. Subsequently, the use of fuzzy logic systems as approximation, choose a simple algorithm, small calculation nearest neighbor learning algorithm simultaneously and structural parameters of the system adaptively adjusted to obtain the optimal solution. In the use of means to verify the accuracy of the simulation based on the level, using this approach is to use the current consultation period the value of the opponent's proposal Agent historical data, it produces a time-dependent function proposed online learning, to predict the opponent's proposal in the future time value and accordingly the proposals produced Agent Negotiation strategies were amended to ensure both quickly reached a collaboration, but also a good balance between the respective interests of the parties negotiate and achieve \Finally, the use of the Java language in eclipse platform designed and implemented an experimental system BMNs (Bilateral Multi-issue Negotiation system), and the effectiveness of the proposed generation strategy proposed has been verified. The experimental results show that the algorithm for speeding up the process of bilateral consultations, has an important role to improve the consultation.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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