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A probability based model for multi-agent system optimization

机译:多智能体系优化概率模型

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Multi-agent systems bring up a number of important issues in nowadays technology, such as ubiquity, decentralization, openness, dynamism and uncertainty. As research and development in these areas goes on, those systems meet more and more challenges. Two of the special problems are decision making in uncertain and part-information environments, and collaboration and coordination with other agents in such environments. This paper presents a formalized probability based model into a challenging domain which comes from our own experience of a research project, using probability methods to aid in deriving the optimized choices and decisions for the multi agent system.
机译:多助理系统在如今的技术中提出了许多重要问题,例如泛滥,分散,开放,动力和不确定性。随着这些领域的研发,这些系统越来越挑战。两个特殊问题是在不确定和部分信息环境中的决策,以及在此类环境中与其他代理商的协作和协调。本文介绍了一个基于正式的概率模型,掌握了一个挑战的领域,它来自我们自己的研究项目的经验,利用概率方法来帮助获得多代理系统的优化选择和决策。

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