模态和描述逻辑的SAT技术

R. Sebastiani, A. Tacchella
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引用次数: 18

摘要

在过去的二十年中,模态和描述逻辑为计算机科学许多领域的重要应用提供了理论框架。因此,模态和描述逻辑中的自动推理问题得到了深入的研究。在本章中,我们将展示如何将高效的布尔推理技术导入、使用并集成到模态和描述逻辑的推理工具中。在这种程度上,我们关注模态逻辑,特别是K(m)。特别地,我们提供了模态逻辑的一些背景知识;我们描述了一个基本的理论框架,提出并分析了基于表和基于dpl的基本技术;我们描述了基于dpl程序的优化和扩展;我们介绍了自动机理论/基于obdd的方法;最后,我们提出了热切方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAT Techniques for Modal and Description Logics
In the last two decades, modal and description logics have provided a theoretical framework for important applications in many areas of computer science. For this reason, the problem of automated reasoning in modal and description logics has been thoroughly investigated. In this chapter we show how efficient Boolean reasoning techniques have been imported, used and integrated into reasoning tools for modal and description logics. To this extent, we focus on modal logics, and in particular mainly on K(m). In particular, we provide some background in modal logics; we describe a basic theoretical framework and we present and analyze the basic tableau-based and DPLL-based techniques; we describe optimizations and extensions of the DPLL-based procedures; we introduce the automata-theoretic/OBDD-based approach; finally, we present the eager approach.
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