拜占庭多智能体系统中的因果关系和认知推理

R. Kuznets, Laurent Prosperi, U. Schmid, Krisztina Fruzsa
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引用次数: 5

摘要

在分布式计算中,因果关系是证明不可能结果和综合有效协议的重要概念。对于通过不可靠通道进行通信的异步代理,因果关系得到了很好的研究和理解。然而,这种理解在很大程度上依赖于代理本身是正确和可靠的假设。我们提供了在拜占庭代理的存在下的第一个因果关系的认知分析,即,代理可以偏离他们的协议,因此,不能依赖。使用我们在容错多智能体系统中新的认知推理框架,我们确定了因果锥体的拜占庭模拟,并描述了一种通信结构,我们称之为multipede,这是验证这种设置中行动的先决条件所必需的。
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Causality and Epistemic Reasoning in Byzantine Multi-Agent Systems
Causality is an important concept both for proving impossibility results and for synthesizing efficient protocols in distributed computing. For asynchronous agents communicating over unreliable channels, causality is well studied and understood. This understanding, however, relies heavily on the assumption that agents themselves are correct and reliable. We provide the first epistemic analysis of causality in the presence of byzantine agents, i.e., agents that can deviate from their protocol and, thus, cannot be relied upon. Using our new framework for epistemic reasoning in fault-tolerant multi-agent systems, we determine the byzantine analog of the causal cone and describe a communication structure, which we call a multipede, necessary for verifying preconditions for actions in this setting.
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