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Stit semantics for epistemic notions based on information disclosure in interactive settings

机译:基于信息披露的交互式设置中的认知概念来抑制语义

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We characterize four types of agentive knowledge using a stit semantics over branching discrete-time structures. These are ex anteknowledge, ex interimknowledge, ex post-knowledge, and know-how. The first three are notions that arose from game-theoretical analyses on the stages of information disclosure across the decision making process, and the fourth has gained prominence both in logics of action and in deontic logic as a means to formalize ability. In recent years, logicians in AI have argued that any comprehensive study of responsibility attribution and blameworthiness should include proper treatment of these kinds of knowledge. This paper intends to clarify previous attempts to formalize them in stit logic and to propose alternative interpretations that in our opinion are more akin to the study of responsibility in the stit tradition. The logic we present uses an extension with knowledge operators of the Xstit language, and formulas are evaluated with respect to branching discrete-time models. We also present an axiomatic system for this logic, and address its soundness and completeness. (C) 2021 The Authors. Published by Elsevier Inc.
机译:我们在分支离散时间结构上表征了四种类型的辅助知识,用于分支离散时间结构。这些是exteknowledge,Ex Interimknowledge,前知识和专业知识。前三个是从决策过程中信息披露阶段的游戏理论分析产生的概念,第四个在行动逻辑和文学逻辑中获得了突出,作为正式化能力的手段。近年来,AI的逻辑学家认为,任何对责任归因和责任的全面研究都应包括适当处理这些知识。本文打算澄清以前的尝试将它们正式化,以符号逻辑,并提出在我们意见中的替代解释更像是对污染传统责任的研究。我们所呈现的逻辑使用具有Xstit语言的知识运算符的扩展,并对分支离散时间模型进行评估公式。我们还为此逻辑提供了一个公理系统,并解决了其声音和完整性。 (c)2021作者。 elsevier公司发布

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