对证据和信念进行推理的逻辑

T. Fan, C. Liau
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引用次数: 2

摘要

在基于智能体的系统中,智能体通常根据来自多个来源的证据形成她的信念,例如来自其他智能体的信息或对外部环境的感知。在本文中,我们提出了一个关于证据和信念的推理逻辑。我们的框架不仅利用了证明逻辑的溯源能力,而且还允许区分实际观察和简单的潜在证据可采性。给出了基本逻辑的公理化及其动态扩展,研究了基本逻辑的性质,并用实例说明了其在自主智能体信息融合中的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A logic for reasoning about evidence and belief
In agent-based systems, an agent generally forms her belief based on evidence from multiple sources, such as messages from other agents or perception of the external environment. In this paper, we present a logic for reasoning about evidence and belief. Our framework not only takes advantage of the source-tracking capability of justification logic, but also allows the distinction between the actual observation and simply potential admissibility of evidence. We present the axiomatization for the basic logic and its dynamic extension, investigate its properties, and use a running example to show its applicability to information fusion for autonomous agents.
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