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A Task Oriented Multi-Agent Negotiation Model Based on Contract-Net

机译:基于契约网的面向任务的多Agent谈判模型

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Negotiation is one of the key issues in Multi-agentsystem. In terms of task characteristics, on the foundationof the multi-agent negotiation model based on theacquaintance model, a task oriented extended contract-netnegotiation model is proposed after analyzing the advantageand disadvantage of the classical contract-net negotiationmodel. Based on the model’s architecture definition, aformalized coalition definition based on task andacquaintance model and coalition formation algorithm isgiven, and then an extended contract-net negotiation modelbased on task coalition is constructed. A combination of GAand simulated annealing algorithm is used to optimize theallocation speed and quality of task coalition in the agentcoalition. Experiment shows that the presented model caneffectively reduce the negotiation cost and improve theefficiency of task allocation on the basis of ensuring thenegotiation quality.
机译:协商是多智能体系统中的关键问题之一。针对任务的特点,在基于熟人模型的多Agent协商模型的基础上,通过分析经典的合同网络协商模型的优缺点,提出了一种面向任务的扩展合同网络协商模型。根据模型的架构定义,给出了基于任务和相识模型的正式联盟定义,以及联盟形成算法,然后构造了基于任务联盟的扩展合同网络协商模型。结合GA和模拟退火算法,优化了Agent联盟中任务联盟的分配速度和质量。实验表明,该模型可以在保证协商质量的基础上,有效降低协商成本,提高任务分配效率。

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