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Fine-grained hybrid intelligent systems. Part 2: Bidirectional hybridization
I. A. Kirikova, A. V. Kolesnikovab, S. V. Listopada, S. B. Rumovskayaa a Kaliningrad Branch of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation
b Immanuel Kant Baltic Federal University, 14 Nevskogo Str., Kaliningrad 236041, Russian Federation
Abstract:
The problematic of interdisciplinary tools is considered and the conclusion about the relevance of research of the “grain” property of hybrids in informatics is made. Properties of functional and instrumental heterogeneity of complex tasks are investigated and the results of fine-grained hybrids modeling within the theory of the schemes of role conceptual models are presented. The results are presented within the linguistic approach, the core of which is in transformation of the verbalized information about objects-originals (complex subjects) and objects-prototypes (modeling approaches) to objects-results (functional hybrid intelligent systems). It exists in poly-languages of professional activity. The transformation is directed by heuristics which are the schemes of the conceptual role models in the informal axiomatic theory. The categorical core of the theory is “resource–property–operation–relation”. The notion of bidirectional hybridization, its benefits, and the first results are represented.
Keywords:
logical-mathematical intelligence; hybrid intelligent systems; linguistic approach; theory of role conceptual models; fine-grained hybrids; bidirectional hybridization.
Received: 20.09.2015
Citation:
I. A. Kirikov, A. V. Kolesnikov, S. V. Listopad, S. B. Rumovskaya, “Fine-grained hybrid intelligent systems. Part 2: Bidirectional hybridization”, Inform. Primen., 10:1 (2016), 96–105
Linking options:
https://www.mathnet.ru/eng/ia407 https://www.mathnet.ru/eng/ia/v10/i1/p96
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