On Syntactically Similar Logic Programs and Sequential Decompositions

نویسندگان

چکیده

Rule-based reasoning is an essential part of human intelligence prominently formalized in artificial research via logic programs. Describing complex objects as the composition elementary ones a common strategy computer science and general. The author has recently introduced sequential programs context logic-based analogical learning programming. Motivated by these applications, this paper we construct qualitative algebraic notion syntactic program similarity from decompositions We then show how can be used to answer queries across different domains one-step reduction. In broader sense, further step towards algebra first envisioned Richard O. Keefe 1985 with applications reasoning.

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ژورنال

عنوان ژورنال: Social Science Research Network

سال: 2023

ISSN: ['1556-5068']

DOI: https://doi.org/10.2139/ssrn.4374007