Author(s): Tsvetkov V.Y.

Rubric: Mathematical cybernetics

DOI: 10.21777/2500-2112-2018-4-66-74

Release: 2018-4 (25)

Pages: 66-74

Keywords: system analysis, artificial intelligence, information processing, complementarity, compliance, informational compliance

Annotation: The article explores two important factors of information systems and models: complementarity and informational correspondence. Complementarity may be present in information processing and decision–making systems. Logical complementarity may be present in the logic circuits and algorithms of complementarity improves the quality of the system and its balance. Informational compliance allows you to make a comparative assessment and evaluate the ability to solve problems before starting from a solution. The article systematizes the types of complementarity and informational conformity. An example of linear complementarity equations that are used to solve optimization problems is shown. An analogue is the simplex method, which is applicable only for piecewise linear functions. The linear complementarity method is applicable for more complex functions. Complementarity allows checking various processes for truth and non-contradiction. Program verification methods use the complementarity property implicitly. The article introduces three related complementary concepts: functional consistency, functional complement, functional consistency. These three concepts describe a common entity, but allow you to analyze it separately. The article shows the similarities and differences between informational correspondence and complementarity.

Bibliography: Tsvetkov V.Y. COMPLEMENTARITY AND COMPLIANCE RELATIONSHIP IN INFORMATION SYSTEMS // Education Resources and Technologies. – 2018. – № 4 (25). – С. 66-74. doi: 10.21777/2500-2112-2018-4-66-74

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