首页> 外文会议>Mexican International Conference on Artificial Intelligence(MICAI 2005); 20051114-18; Monterrey(MX) >Deductive Systems' Representation and an Incompleteness Result in the Situation Calculus
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Deductive Systems' Representation and an Incompleteness Result in the Situation Calculus

机译:演算微分中的演绎系统表示和不完备结果

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It is shown in this paper a way of representing deductive systems using the situation calculus. The situation calculus is a family of first order languages with induction that allows the specification of evolving worlds and reasoning about them and has found a number of applications in AI. A method for the representation of formulae and of proofs is presented in which the induction axiom on states is used to represent structural induction on formulae and proofs. This paper's formalizations are relevant for the purpose of meta reasoning and of automated or manual deduction in the context of situation calculus specifications. An example proof is given for the fact that no deductive system is complete for arbitrary situation calculus specifications (an expectable result).
机译:本文展示了一种使用情境演算表示演绎系统的方法。情境演算是带有归纳法的一阶语言家族,它允许对不断发展的世界进行规范并对其进行推理,并已在AI中找到了许多应用。提出了一种表示公式和证明的方法,其中状态的归纳公理用于表示公式和证明的结构归纳。本文的形式化对于元推理以及在情境演算规范的情况下自动或手动演绎的目的是相关的。对于以下事实给出了示例证明:对于任意情况演算规范,都没有完整的演绎系统(可预期的结果)。

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