From Logic to Functional Logic Programs

IF 1.4 2区 数学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING Theory and Practice of Logic Programming Pub Date : 2022-05-13 DOI:10.1017/S1471068422000187
M. Hanus
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引用次数: 1

Abstract

Abstract Logic programming is a flexible programming paradigm due to the use of predicates without a fixed data flow. To extend logic languages with the compact notation of functional programming, there are various proposals to map evaluable functions into predicates in order to stay in the logic programming framework. Since amalgamated functional logic languages offer flexible as well as efficient evaluation strategies, we propose an opposite approach in this paper. By mapping logic programs into functional logic programs with a transformation based on inferring functional dependencies, we develop a fully automatic transformation which keeps the flexibility of logic programming but can improve computations by reducing infinite search spaces to finite ones.
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从逻辑到功能逻辑程序
逻辑编程是一种灵活的编程范式,因为它使用谓词而没有固定的数据流。为了用函数式编程的紧凑符号扩展逻辑语言,有各种各样的建议将可求值函数映射到谓词中,以保持在逻辑编程框架中。由于合并的函数式逻辑语言提供了灵活而高效的求值策略,我们在本文中提出了一种相反的方法。通过基于推断函数依赖关系的转换将逻辑程序映射到功能逻辑程序,我们开发了一种全自动转换,它既保持了逻辑编程的灵活性,又可以通过将无限搜索空间减少到有限搜索空间来提高计算能力。
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来源期刊
Theory and Practice of Logic Programming
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
40
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.
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