关键词: 多智能体, 网络化制造, 任务分配, 心智模型, 扩展合同网

Abstract: To solve the problem of task allocation in networked manufacturing process,a semi-autonomous multi-agent task allocation method was proposed by combining the mental model with the extended contract net,which included six mental parameters in two categories.On this basis,a three-step process of extended contract net was proposed,which included the bidder optimization,the tender offer and the multi-Agent task allocation.The Agent set of optimized bidding was calculated with tender fitness,and the tender price was obtained with task cost calculation.Through comprehensive assessment of price,collaboration and distance,a task allocation optimization model to minimize the total cost and its solving algorithm were presented.The effectiveness of the proposed method was verified by the case of raw materials purchasing optimization.The result showed that the proposed method could eliminate the defects of high communication costs,reflect the subjective desire of task candidate and provide effective support for task allocation in networked manufacturing.

Key words: multi-Agent, networked manufacturing, task allocation, mental model, extended contract net