Dynamic Logic Programming

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Abstract

Dynamic Logic Programming (DLP) is an extension to logic programming designed to support the representation of knowledge about dynamic worlds. It combines the strengths of safe, stratified, side-effect-free logic programming in defining relations with the power of simultaneous transition rules for defining dynamic operations. Because relation definitions in DLP are safe and stratified and side-effect-free, dynamic logic programs are simpler than general Prolog programs and they allow for efficient implementation. At the same time, defining operations using simultaneous transition rules adds expressive power without compromising the conceptual simplicity of logic programming. DLP is the basis for the logic programming language Epilog (aka Dynamic Prolog) [10].

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Genesereth, M. (2023). Dynamic Logic Programming. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13900 LNAI, pp. 197–209). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-35254-6_16

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