共归纳数据结构的自动推理技术

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS
N. Peltier
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引用次数: 0

摘要

提出了一些关于共归纳结构的推理技术。首先,我们设计了这种结构的(保守扩展)的合理公理化,从而减少了检查公式是否允许共归纳模型进行一阶可满足性测试的问题。我们设计了一类结构,称为正则共归纳,其公理化是完整的(对于其他共归纳结构,所提出的公理化是健全的,但不完整)。然后,我们提出了在这种结构上进行推理的证明演算法。我们首先证明,如果推理规则能够处理有理项,那么上面提到的一些公理可以省略。此外,在某些条件下,其他一些公理可能会被计算不动点方程解的额外推理规则所取代。最后,我们证明了在签名上的一些附加条件下,可以建立一个更强的完备性结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Some techniques for reasoning automatically on co-inductive data structures
Some techniques are proposed for reasoning on co-inductive structures. First, we devise a sound axiomatization of (conservative extensions) of such structures, thus reducing the problem of checking whether a formula admits a co-inductive model to a first-order satisfiability test. We devise a class of structures, called regularly co-inductive, for which the axiomatization is complete (for other co-inductive structures, the proposed axiomatization is sound, but not complete). Then, we propose proof calculi for reasoning on such structures. We first show that some of the axioms mentioned above can be omitted if the inference rules are able to handle rational terms. Furthermore, under some conditions, some other axioms may be replaced by an additional inference rule that computes the solutions of fixpoint equations. Finally, we show that a stronger completeness result can be established under some additional conditions on the signature.
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来源期刊
Journal of Logic and Computation
Journal of Logic and Computation 工程技术-计算机:理论方法
CiteScore
1.90
自引率
14.30%
发文量
82
审稿时长
6-12 weeks
期刊介绍: Logic has found application in virtually all aspects of Information Technology, from software engineering and hardware to programming and artificial intelligence. Indeed, logic, artificial intelligence and theoretical computing are influencing each other to the extent that a new interdisciplinary area of Logic and Computation is emerging. The Journal of Logic and Computation aims to promote the growth of logic and computing, including, among others, the following areas of interest: Logical Systems, such as classical and non-classical logic, constructive logic, categorical logic, modal logic, type theory, feasible maths.... Logical issues in logic programming, knowledge-based systems and automated reasoning; logical issues in knowledge representation, such as non-monotonic reasoning and systems of knowledge and belief; logics and semantics of programming; specification and verification of programs and systems; applications of logic in hardware and VLSI, natural language, concurrent computation, planning, and databases. The bulk of the content is technical scientific papers, although letters, reviews, and discussions, as well as relevant conference reviews, are included.
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