Informatics and Applications
2015, Volume 9, Issue 4, pp 98-105
FINE-GRAINED HYBRID INTELLIGENT SYSTEMS.
PART 1: LINGUISTIC APPROACH
- I. À. Kirikov
- À. V. Kolesnikov
- S. V. Listopad
- S. B. Rumovskaya
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.
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[+] About this article
Title
FINE-GRAINED HYBRID INTELLIGENT SYSTEMS.
PART 1: LINGUISTIC APPROACH
Journal
Informatics and Applications
2015, Volume 9, Issue 4, pp 98-105
Cover Date
2015-11-30
DOI
10.14357/19922264150411
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
logical-mathematical intelligence; hybrid intelligent systems; linguistic approach; theory of role
conceptual models
Authors
I. À. Kirikov , À. V. Kolesnikov , ,
S. V. Listopad , and S. B. Rumovskaya
Author Affiliations
Kaliningrad Branch of the Federal Research Center "Computer Science and Control" of the Russian Academy
of Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation
Immanuel Kant Baltic Federal University, 14 Nevskogo Str., Kaliningrad 236041, Russian Federation
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