提出了一种多agent合作机制，以效用为基础，利用效用函数计算agent在不同任务下与其他agent合作而产生的效用值，以此为依据得到agent对不同合作方式的偏好序列，并选择最大偏好参与合作。通过这种方法， agent 可以主动选择最适合自己的合作方式来完成任务，与此同时，以效用为驱动可以使群体的任务收益达到最优，提高了agent群体的合作效率。最后给出了用于方法验证的多agent原型系统，同时在该系统下证明了合作机制的有效性。%A cooperative mechanism amlong multiple agents was proposed. In the cooperative mechanism, a utility value was used to generate a preferred order for agents under different cooperative patterns. This utility value was achieved by computing the cooperative utility between one agent and the others under different tasks using a utility function. Accord-ing to this mechanism, agents can automatically choose the cooperative pattern, which is the best to fit themselves to ac-complish their missions. Meanwhile, driven by utility, group task income can achieve the optimum, which enhances the cooperation efficiency of agent groups. A prototype system was designed at last to validate the proposed cooperative mechanism. The effectiveness of this cooperative mechanism has been proved under the prototype system.
展开▼
