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多Agent系统在处理实际复杂问题时,智能体与智能体之间通常需要多轮协商才能最终达成一致目标,多轮协商本质上是一种参与方在保证自身利益前提下,不断让步妥协的过程,但在此动态协商的过程中通常需要考虑很多复杂因素.本文针对多Agent系统中的动态协商过程,根据协商环境的动态变化,基于效用评价机制,提出了一种让步多赢策略.该策略充分考虑到协商过程中影响Agent自身利益的理性因素,如时间、协商次数、参与方的动态变化等,据此策略智能体能够在提议-反提议的动态协商过程中做出适当、理性的让步,从而既确保了自身利益,又能兼顾对方利益,保证了参与各方的协商多赢.该方法提高了协商的成功率和效用,在实际应用中具有更大的灵活性和适用性.
When the multi-agent system deals with the actual complex problems, it usually takes several rounds of negotiation between the agent and the agent to finally reach the consensus goal. Multiple rounds of negotiation are essentially the process of making concessions under the premise of ensuring their own interests , But usually there are many complicated factors to be considered in the process of dynamic negotiation.This paper proposes a concessional and win-win strategy based on the dynamic change of negotiation environment and the mechanism of utility evaluation for the dynamic negotiation process in multi-agent system. Considering the rational factors that influence the self-interest of Agent, such as the time, the number of consultations and the dynamic changes of participants, the policy agent can make appropriate and rational concessions during the proposed-counter-proposed dynamic negotiation process , So as to ensure their own interests, but also take into account the interests of each other to ensure that all parties involved in the consultation win-win .This method improves the success rate and effectiveness of the consultation, in practical applications with greater flexibility and applicability.