《庆祝学院20周年论文集》简介

IF 1.4 2区数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Theory and Practice of Logic Programming Pub Date : 2022-09-22 DOI:10.1017/s1471068422000345

Thomas Eiter, M. Maher, Enrico Pontelli, Luc de Raedt, M. Truszczynski

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引用次数: 0

摘要

《逻辑程序设计理论与实践》(Theory and Practice of Logic Programming, TPLP)杂志的第一期于2001年1月出版。这一期是本卷的最后一期，下一期是下一卷的第一期，包括纪念和庆祝该杂志二十周年的论文集。由于COVID-19大流行，这个庆祝系列推迟了大约一年(但如果我们完全诚实的话，也是因为人类普遍倾向于推迟事情)。不管延迟的真正原因是什么，藏品终于来了。我们希望并期待它将证明逻辑程序设计的生命力，以及它在过去和今天所产生的广泛的研究方向。逻辑程序设计计算机对逻辑程序设计中自动定理证明的研究，这些原始的启发

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Introduction to the Collection of Papers Celebrating the 20th Anniversary of TPLP

The ﬁrst issue of the journal Theory and Practice of Logic Programming, or TPLP, was published in January 2001. This issue, the last one in the present volume, and the following issue, the ﬁrst one in the next volume, comprise a collection of papers com-memorating and celebrating the twentieth anniversary of the journal. This celebratory collection comes with about one year delay due to the COVID-19 pandemic (but also, if we were to be entirely honest, because of a common human tendency to put things oﬀ). Whatever the true reason for the delay, the collection is ﬁnally here. We hope and expect it will prove to be a demonstration of the vitality of logic programming, and of a broad range of research directions it spawned in the past and continues to generate today. Logic programming computer a of research on automated theorem proving in logic the of the programming The these original of inspiration of

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来源期刊

Theory and Practice of Logic Programming 工程技术-计算机：理论方法

CiteScore

4.50

自引率

21.40%

发文量

审稿时长

>12 weeks

期刊介绍： Theory and Practice of Logic Programming emphasises both the theory and practice of logic programming. Logic programming applies to all areas of artificial intelligence and computer science and is fundamental to them. Among the topics covered are AI applications that use logic programming, logic programming methodologies, specification, analysis and verification of systems, inductive logic programming, multi-relational data mining, natural language processing, knowledge representation, non-monotonic reasoning, semantic web reasoning, databases, implementations and architectures and constraint logic programming.