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Coalition formation based on a task-oriented collaborative ability vector

机译:基于面向任务的协作能力向量的联盟形成

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coalition formation is an important coordination problem in multi-agent systems, and a proper description of collaborative abilities for agents is the basic and key precondition in handling this problem. In this paper, a model of task-oriented collaborative abilities is established, where five task-oriented abilities are extracted to form a collaborative ability vector. A task demand vector is also described. In addition, a method of coalition formation with stochastic mechanism is proposed to reduce excessive competitions. An artificial intelligent algorithm is proposed to compensate for the difference between the expected and actual task requirements, which could improve the cognitive capabilities of agents for human commands. Simulations show the effectiveness of the proposed model and the distributed artificial intelligent algorithm.
机译:联盟的形成是多智能体系统中的重要协调问题,而对智能体协作能力的正确描述是处理此问题的基本和关键前提。本文建立了面向任务的协作能力模型,提取了五个面向任务的能力,形成了协作能力向量。还描述了任务需求向量。此外,提出了一种具有随机机制的联盟形成方法来减少过度竞争。提出了一种人工智能算法来弥补预期任务需求与实际任务需求之间的差异,从而提高智能体对人类命令的认知能力。仿真结果表明了所提模型和分布式人工智能算法的有效性。

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