Representation of methods for solving subtasks of different types from the decomposition of a diagnostic problem
... here we introduce the method and model for the formation of schemes-images of methods for solving tasks from decomposition of a diagnostic problem. All concepts are interpreted in terms of the language of the description of relations and connections. A. V. Kolesnikov introduced it for predicative coding of the verbal-sign knowledge about the subject area.
Rumovskaya S. B., Kolesnikov A. V., Litvin A. A.
a diagnostic problem, cognitive visualization, schemes-images, decomposition of a diagnostic ...
Role visual models of the functional hybrid intelligent system with the heterogeneous visual field
... н/Д, 2003.
3. Боно Э. Водная логика. Минск, 2006.
4. Колесников А. В. Гибридные интеллектуальные системы. Теория и технология разработки. СПб., 2001.
5. Kolesnikov A., Yashin A. Hybrid simulation of stratified systems // Mathematical Modelling and Analysis MMA 99: Pr. of the 4th Intern. Conf. Vilnius, 1999. P. 51.
6. Колесников А. В. и др. Решение сложных задач коммивояжера ...
Intellectualization of operational and technological control of regional electric power by cognitive hybrid intelligent systems. Part 4
... "cognitive image" and "dynamics of the operational image" of the object of operational and technological control, their verbal-predicative and subject-pictorial components in the regional intellectual electric power industry.
Kolesnikov A. V., Rumovskaya S. B., Yasinsky E. V.
intelligent control systems, cognitive image, operational image, cognitive hybrid intellectual systems, language of relations and links, subject-figurative representations of language
49-75
Intellectualization of operational and technological control of regional electric power by cognitive hybrid intelligent systems. Part 3
... describes the conceptual scheme of the language and presents the results of the development of its mapping into the scheme "System of operational and technological control". The last has cognitive hybrid intelligent system as an actor.
Kolesnikov A. V., Rumovskaya S. B., Yasinsky E. V., Barzenkov A. V.
intelligent power system, world of operational and technological reality, language of relations and connections, categorical basis, cognitive artificial intelligence
43-65
Intellectualization of operational and technological control of regional electric power by cognitive hybrid intelligent systems. Part 2
... and the proposed options for understanding it,. This paper presents the results of the study of the subject of operational and technological management in the regional power system, the features of his work, thinking and his surrounding reality.
Kolesnikov A. V., Rumovskaya S. B., Yasinsky E. V., Demyanets R. V.
intelligent power system, the subject of control, the thinking of the operator, the language of relations and connections of the operator
38-50
Intellectualization of operational and technological control of regional electric power by cognitive hybrid intelligent systems. Part 1
... operational and technological control system of the regional electric power system, results of the categorization of the ontological semantics of the objective reality and the mathematical reality of the object of technology operations activities.
Kolesnikov A.V., Rumovskaya S.B., Yasinsky E.V., Soldatov S.A.
intelligent power system, operational and technological control system, ontological semantics of a control object, objective and mathematical reality of the control object
88-95
Metalanguage for hybrid intelligent systems of electrical networks visual control: problems and models
... Самсонова М. В., Ефимов В. В. Технология и методы коллективного решения проблем : учеб. пособие. Ульяновск, 2003.
19. Эдвардс Б. Ты — художник! Минск, 2010.
Kolesnikov A. V., Listopad S. V., Maytakov F. G.
decision support, visual language, visual reasoning
73-89
A metalanguage for hybrid intelligent systems of electrical grid visual control: hierarchy, structure, situations, and states
... Гибридные и синергетические интеллектуальные системы : матер. IV Всерос. Поспеловской конф. с междунар. участием. Калининград, 2018. С. 18—81.
Kolesnikov A. V., Listopad S. V., Maitakov F. G.
decision support, visual language, visual reasoning, electrical grid
47-58
An analysis of heterogeneous thinking techniques and the prospects for their implementation by hybrid intelligent multiagent systems
... гибридных интеллектуальных систем. М., 2011.
16. Колесников А. В. Гибридные интеллектуальные системы. Теория и технология разработки. СПб., 2001.
Kolesnikov A. V., Listopad S. V., Rumovskaya S. B., Maitakov F. G.
hybrid intelligent multi-agent system, heterogeneous thinking, small expert team
59-71
Visual modeling of group processes in decision-making by a small team of experts
... Consensus in Group Decision Making Situations // Proceedings of the IEEE International Conference on Fuzzy Systems. L., 2007. P. 1823—1828.
15. Eades P. A heuristic for graph drawing // Congress Numerantium. 1984. № 42. P. 149—160.
Kirikov I., Kolesnikov A., Listopad S.
visualization, team decision-making, group process
80-90
Research of an self-organising effect in decision support computer systems on example of multi-agent systems
... применение. 2009. Т.
3, вып.
4. С. 78—88.
11.
Колесников А.
В.
Гибридные интеллектуальные системы. Теория и технология разработки. СПб., 2001.
Kirikov I. A., Kolesnikov A. V., Listopad S. V.
self-organisation, decision support system, multi-agent system.
79-90
The Theoretic Basis of Decision a Problem of Operational Industrial Planning with Taking into Account Coordination
... программирование, его обобщения и применение.
М., 1966.
17.
Алтунин А. Е., Семухин М. В.
Модели и алгоритмы принятия решений в нечетких условиях. Тюмень, 2000.
Kolesnikov A. V., Soldatov S.
problem of operational planning, coordination, hybrid intellectual
systems, machine-building enterprise.
82-96
10.5922/2223-2095-2009-10-7