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Fine-grained hybrid intelligent systems. Part 1: Linguistic approach
I. A. Kirikova, A. V. Kolesnikovba, 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 paper considers the problematic of interdisciplinary tools and the property of “grain” for hybrids in informatics. The results are presented within the linguistic approach, the core of which is transformation of the verbalized information about objects-originals (complex subjects) and objects-prototypes (modeling approaches) to objects-results (functional hybrid intelligent system). It exists in polylanguages of professional activity. The transformation is directed by heuristics, which are the schemes of the conceptual role models in the informal axiomatic theory. The category core of the theory is “resource–property–operation–relation.” Mono-, bi-, and tri-role constructs are specified over its extension, which are the basic elements. On the basis of these elements the schemes of reflection of information about resources, operations, situations, state of object of management, complex tasks of management entity, and fine-grained hybrids of modeling entity are built.
Keywords:
logical-mathematical intelligence; hybrid intelligent systems; linguistic approach; theory of role conceptual models.
Received: 20.09.2015
Citation:
I. A. Kirikov, A. V. Kolesnikov, S. V. Listopad, S. B. Rumovskaya, “Fine-grained hybrid intelligent systems. Part 1: Linguistic approach”, Inform. Primen., 9:4 (2015), 98–105
Linking options:
https://www.mathnet.ru/eng/ia397 https://www.mathnet.ru/eng/ia/v9/i4/p98
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Abstract page: | 202 | Full-text PDF : | 77 | References: | 47 | First page: | 4 |
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