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Verification of Epistemic Properties in Probabilistic Multi-Agent Systems

机译:概率多智能体系统中认知性质的验证

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Over the past decade Multi-Agent Systems (MAS) have emerged as a successful approach to develop distributed applications. In recent years proposals have been made to extend MAS models with probabilistic behavior. Languages to reason about such systems were presented in order to deal with uncertainty that can be encountered in practical application domains. While in recent works model checking techniques have been successfully applied for verifying knowledge in classical MAS, no methods for verifying knowledge in probabilistic MAS yet exist. This paper proposes such a model checking approach for probabilistic MAS. The approach comprises a compositional modeling process, a modal logic with operators for the specification of epistemic and temporal properties, the corresponding model checking procedure, and an outline of how these techniques can be implemented into existing model checking tools. The advantages of the chosen design include the possibility to analyze the MAS both from the global perspective as well as from the perspective of the agents, and the polynomial complexity of the model checking algorithm.
机译:在过去的十年中,多代理系统(MAS)已经成为开发分布式应用程序的成功方法。近年来,已经提出了用概率行为扩展MAS模型的建议。提出了有关此类系统的推理语言,以应对实际应用领域中可能遇到的不确定性。尽管在最近的工作中,模型检查技术已经成功地用于验证经典MAS中的知识,但尚不存在用于验证概率MAS中的知识的方法。本文提出了一种用于概率MAS的模型检查方法。该方法包括组成建模过程,带有用于说明认知和时间特性的运算符的模态逻辑,相应的模型检查过程,以及如何将这些技术实现到现有模型检查工具中的概述。所选设计的优点包括可以从全局角度以及从代理角度分析MAS的可能性,以及模型检查算法的多项式复杂性。

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