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Automated theorem proving by translation to description logic.

机译:通过翻译成描述逻辑来自动证明定理。

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摘要

Many Automated Theorem Proving (ATP) systems for different logical forms, and translators for translating different logical forms from one to another, have been developed and are now available. Some logical forms are more expressive than others, and it is easier to express problems in those logical forms. On the other hand, the ATP systems for less expressive forms have benefited from more years of development and testing. There is a trade-off between the expressivity of a logical form, and the capabilities of the available ATP systems. Different ATP systems and translators can be combined to solve a problem expressed in a given logical form. In this research, an experiment has been designed and carried out to compare all different possible ways of trying to solve a problem, using the following logical forms in increasing order of expressivity: Propositional Logic, Description Logic, Effectively Propositional form, Conjunctive Normal Form, First Order Form, Typed First order form-monomorphic, Typed First order form-polymorphic, Typed Higher order form-monomorphic. In this dissertation, the properties, syntax, and semantics of each target logical form are briefly described. For each form, the most popular ATP systems and translators for translating to less expressive forms are introduced.;Problems in logics more expressive than Conjunctive Normal Form can be translated directly to Conjunctive Normal Form, or indirectly by translation via intermediate logics. No translator was available to translate from Conjunctive Normal Form to Description Logic, which sits between Effectively Propositional form and Propositional Logic in terms of expressivity. Saffron a Conjunctive Normal Form to Description Logic translator, has been developed, which fills the gap between Conjunctive Normal Form and Description Logic. Moreover, Description Logic Form (DLF), a new syntax for Description Logic, has been designed. Automated theorem proving by translation to Description Logic is now an alternative way of solving problems expressed in logics more expressive than Description Logic, by combining necessary translators from those logics to Conjunctive Normal Form, Saffron, and a Description Logic ATP system.
机译:已经开发了许多用于不同逻辑形式的自动定理证明(ATP)系统,以及用于将不同逻辑形式从一种转换为另一种的转换器。一些逻辑形式比其他逻辑形式更具表达性,并且以这些逻辑形式表达问题更容易。另一方面,较少表达形式的ATP系统受益于多年的开发和测试。在逻辑形式的表现力与可用ATP系统的功能之间需要权衡。可以组合使用不同的ATP系统和翻译器来解决以给定逻辑形式表示的问题。在这项研究中,我们设计并进行了一项实验,比较尝试解决问题的所有可能方式,并使用以下逻辑形式以增加的表达顺序:命题逻辑,描述逻辑,有效命题形式,合取范式,一阶形式,类型一阶形式-单态,类型一阶形式-多态,类型高阶形式-单态。本文简要介绍了每种目标逻辑形式的属性,语法和语义。对于每种形式,都介绍了最流行的ATP系统和翻译器,用于将其翻译为表达较少的形式。;比合取范式更具表达性的逻辑问题可以直接翻译为合取范式,也可以通过中间逻辑间接翻译。没有翻译器可以将从合取范式转换为描述逻辑,而描述逻辑在表达性方面介于有效命题形式和命题逻辑之间。已经开发了番红花的合取范式到描述逻辑转换器,填补了合取范式和描述逻辑之间的空白。此外,设计了描述逻辑表格(DLF),这是描述逻辑的新语法。通过转换成描述逻辑的自动定理证明,现在是解决以比描述逻辑更具表现力的逻辑表达的问题的另一种方式,方法是将这些逻辑转化为合取范式,番红花和描述逻辑ATP系统,将这些逻辑组合起来。

著录项

  • 作者

    Arhami, Negin.;

  • 作者单位

    University of Miami.;

  • 授予单位 University of Miami.;
  • 学科 Computer science.;Logic.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:52:28

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