Maximal common predicate sub-formula extraction with the use of Maslov's inverse method

Authors

  • Нина Дмитриевна Петухова SPbSMTU, St. Petersburg, Russia

Keywords:

artificial intelligence, logic-objective approach to pattern recognition, predicate calculus, complexity theory, inverse method of S. Yu. Maslov, concurrent processing, partial deducibility

Abstract

The article is devoted to the describing of an algorithm which extract a maximal common up to the names of variables sub-formula of two elementary conjunctions of atomic predicate formulas. The offered algorithm uses the proposed earlier by the author modification of inverse method of S. Yu. Maslov as well as Ant tactics and concurrent processing. The problem of the extraction of a maximal common up to the names of variables sub-formula of predicate formulas has wide enough application while development of an effective algorithm solving an Artificial Intelligence problem permitting its description in the frameworks of predicate calculus language. Asymptotic estimates of the number of run steps for the described algorithm are formulated.

Author Biography

  • Нина Дмитриевна Петухова, SPbSMTU, St. Petersburg, Russia

    Petukhova N. D.

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Published

2017-07-29

Issue

Section

Computer science

How to Cite

[1]
Н. Д. Петухова, “Maximal common predicate sub-formula extraction with the use of Maslov’s inverse method”, Computer Tools in Education, no. 4, pp. 17–25, Jul. 2017, Accessed: Aug. 01, 2026. Available: http://cte.eltech.ru/ojs/index.php/kio/article/view/1459

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