|
This article is cited in 1 scientific paper (total in 1 paper)
Algorithm for synthesis of functional hybrid intelligent systems with a heterogeneous visual field
A. Kolesnikovab, S. Listopada 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 A. Nevskogo Str.,
Kaliningrad 236041, Russian Federation
Abstract:
The article presents an algorithm for synthesis of a new class of intelligent systems that is hybrid intelligent systems with a heterogeneous visual field modeling the integration of collective symbolic and visual reasoning. To implement such reasoning, the formalized model of visual languages is used based on the concept of a semiotic system according to D. A. Pospelov, as well as A. V. Kolesnikov multilayered model of professional languages. Hybrid intelligent systems with a heterogeneous visual field will be able to control the simulation process and, depending on the uncertainty of the problem situation, alternately activate the symbolic or visual mechanisms of reasoning, imitating “jumps” in the hybrid state space corresponding to instantaneous insight (enlightening) of the real expert teams.
Keywords:
hybrid intelligent system; heterogeneous visual field; visual reasoning.
Received: 15.08.2017
Citation:
A. Kolesnikov, S. Listopad, “Algorithm for synthesis of functional hybrid intelligent systems with a heterogeneous visual field”, Sistemy i Sredstva Inform., 27:3 (2017), 112–125
Linking options:
https://www.mathnet.ru/eng/ssi533 https://www.mathnet.ru/eng/ssi/v27/i3/p112
|
Statistics & downloads: |
Abstract page: | 211 | Full-text PDF : | 42 | References: | 41 |
|