论情景演算中的程序识别

Jorge A. Baier
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引用次数: 3

摘要

我们正在进行的研究的目的是提供一种基于逻辑框架的方法,为在动态环境中执行典型过程的代理构建智能辅导系统。典型的过程类似于计划,因为它们描述了代理为实现某个目标应该执行的操作。在本文中,我们讨论了我们认为是构建这种系统的第一步:程序识别。我们在情境演算中形式化agent正在执行一个过程的含义,情境演算是一种扩展了归纳的一阶逻辑语言。基于这种形式化,我们给出了两种不同的实现。第一个直接基于我们的形式化的方法被证明是非常低效的。第二种方法的效率要高得多,它源于对原始形式化的逻辑重新表述。程序通过CONGOLOG程序来表示,CONGOLOG程序是一种基于情景演算的逻辑解释语言。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On procedure recognition in the Situation Calculus
The aim of our ongoing research is to give a method to construct intelligent tutoring systems for agents who are executing typical procedures in dynamic environments based on a logical framework. Typical procedures are similar to plans in the sense that they describe the actions an agent should execute to achieve a certain goal. In this paper we address what we consider is the first step toward the construction of this kind of system: procedure recognition. We formalize what it means that an agent is performing a procedure in the Situation Calculus, a logical first-order language extended with induction. Based upon this formalization, we give two different implementations. The first, which is directly based in our formalization, is proved to be quite inefficient. The second, significantly more efficient, arises from a logical reformulation of the original formalization. Procedures are represented through CONGOLOG programs, a logical interpreted language based on the Situation Calculus.
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