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arXiv 2401.06451cs.DC
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拜占庭容错多智能体系统中修复与状态恢复的逻辑

A Logic for Repair and State Recovery in Byzantine Fault-tolerant Multi-agent Systems

Hans van Ditmarsch, Krisztina Fruzsa, Roman Kuznets, Ulrich Schmid

AI总结:

本文提出含知识、hope及三类动态模态的认知逻辑,以模型更新刻画拜占庭容错多智能体系统的修复与状态恢复,并给出完备归约公理化。

摘要:

我们提供了一种认知逻辑语言及其语义,用于对拜占庭容错多智能体系统进行建模与分析。这不仅有助于对智能体的故障状态进行推理,还支持通过模型更新来实现修复与状态恢复。对于每个智能体,除标准的知识模态外,我们的逻辑还提供了一个名为 hope 的附加模态,它能够表达该智能体是正确的(非故障的);同时还提供了可改变智能体正确状态的动态模态。这些动态模态被解释为模型更新,分为三种类型:完全公开、更具私密性,或涉及事实变更。我们以归约系统的形式为所有这些变体提供了完备的公理化:含动态模态的公式等价于不含动态模态的公式。因此,它们与知识和 hope 逻辑具有相同的表达能力。文中给出了多个示例,以展示我们的逻辑在建模各种修复与状态恢复技术时的实用性与灵活性;这些技术已在含拜占庭智能体的容错分布式计算中的故障检测、隔离与恢复(FDIR)方法背景下得到实现。

英文摘要:

We provide an epistemic logical language and semantics for the modeling and analysis of byzantine fault-tolerant multi-agent systems. This not only facilitates reasoning about the agents' fault status but also supports model updates for implementing repair and state recovery. For each agent, besides the standard knowledge modality our logic provides an additional modality called hope, which is capable of expressing that the agent is correct (not faulty), and also dynamic modalities enabling change of the agents' correctness status. These dynamic modalities are interpreted as model updates that come in three flavours: fully public, more private, or involving factual change. We provide complete axiomatizations for all these variants in the form of reduction systems: formulas with dynamic modalities are equivalent to formulas without. Therefore, they have the same expressivity as the logic of knowledge and hope. Multiple examples are provided to demonstrate the utility and flexibility of our logic for modeling a wide range of repair and state recovery techniques that have been implemented in the context of fault-detection, isolation, and recovery (FDIR) approaches in fault-tolerant distributed computing with byzantine agents.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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