An algebraic approach to problem solution and problem semantics

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Abstract

The usual approach to the synthesis of algorithms for the solution of problems in combinatorial mathematics consists of two steps. 1 — Description: the problem is embedded in a general structure which is rich enough to permit a mathematical modelling of the problem. 2 — Solution: the problem is solved by means of techniques "as simple as possible", with respect to some given notion of complexity. We give a formalization of this approach in the framework of category theory, which is general enough to get rid of unessential details. In particular such a framework will be provided by the category of ordered complete Σ-algebras, and we will describe the relation between description and solution by means of a variant of so called "Mezei-Wright like results" [10], relating the concept of least fixed point to that of a suitable natural transformation between functors.

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Bertoni, A., Mauri, G., & Torelli, M. (1977). An algebraic approach to problem solution and problem semantics. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 53 LNCS, pp. 253–262). Springer Verlag. https://doi.org/10.1007/3-540-08353-7_143

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