Systems and Means of Informatics
2017, Volume 27, Issue 4, pp 95-108
ARCHITECTURE OF THE TOOL FOR DEVELOPING THE FUNCTIONAL HYBRID INTELLIGENT SYSTEMS WITH A HETEROGENEOUS VISUAL FIELD
- A. V. Kolesnikov
- S. V. Listopad
Abstract
Hybrid intelligent systems integrating experts' knowledge models solve heterogeneous tasks (problems). At the same time, elements of hybrid intelligent systems interact using symbolic-logical models of knowledge, which significantly limit their capabilities in comparison with teams of experts who successfully argue both logically and figuratively. A typical architecture of hybrid intelligent systems that synthesize integrated methods for solving problems over a heterogeneous visual field and an architecture of the tool for developing such systems are proposed. Hybrid intelligent systems with a heterogeneous visual field alternately simulate collective verbal-symbolic and visual-figurative reasoning depending on the uncertainty of the decision-making situation. Visual-figurative reasoning allows the system to "see" an approximate solution of the problem which can be refined later by the methods of verbal-symbolic reasoning.
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[+] About this article
Title
ARCHITECTURE OF THE TOOL FOR DEVELOPING THE FUNCTIONAL HYBRID INTELLIGENT SYSTEMS WITH A HETEROGENEOUS VISUAL FIELD
Journal
Systems and Means of Informatics
Volume 27, Issue 4, pp 95-108
Cover Date
2017-10-30
DOI
10.14357/08696527170407
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
hybrid intelligent system; heterogeneous visual field; visual reasoning; visual management
Authors
A. V. Kolesnikov  ,  and S. V. Listopad
Author Affiliations
Immanuel Kant Baltic Federal University, 14 A. Nevskogo Str., Kaliningrad 236041, Russian Federation
Kaliningrad Branch of the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation
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