Metalanguage for hybrid intelligent systems for visual control of electrical networks: resources, properties, and actions

A. Kolesnikov^ab, S. Listopad^a, F. Maitakov<sup>b

a</sup> 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: Traditionally, the modeling of intelligent reasoning in hybrid intelligent systems is based on symbolic-logical models of knowledge. At the same time, experts, solving practical problems, operate mainly with visual knowledge. Visualization qualitatively changes the work of the subject of management, allowing one to recognize the problem situation at a glance and "see its solution" without logical inferences. The complexity of modeling visual reasoning in hybrid intelligent systems is due to the lack of formalized models of visual languages and high science-intensiveness of development of special environments for manipulating and processing visual models. The paper presents a formalized description of two basic levels of metalanguage for hybrid intelligent systems for managing electrical networks: (i) a conceptual and visual basis; and (ii) resources, actions, and properties.

Keywords: decision support; visual language; visual reasoning.

Received: 01.08.2018

DOI: 10.14357/08696527180312

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