Scientific and Technical Journal

ELECTROTECHNIC AND COMPUTER SYSTEMS

ISSN Print 2221-3937
ISSN Online 2221-3805
COGNITIVE CONTROL BASED ON DYNAMIC COMPLEX GOALS: STRUCTURES AND MODELS
Abstract:

Cognitive control systems based on DIKW-pyramids of knowledge and multi-level subsystems of activity that use the dynamic complex of the goals of their functioning are considered. Describes the characteristics of individual goals and sets of these objectives, such as type, coverage, clarity of setting, income from achieving the goal, the need for system resources, priority, the degree of influence on other goals, competing system resources, the effectiveness of goals, and others. These characteristics determine the state of the processes of achieving the goal in the cognitive control system.

The activity of the control system for the selection of a strategy for managing goals is allocated to a separate sub-level in the pyramid of cognitive control system activities. The principles of choosing a goal-setting strategy based on the goal tree traversal, expansion of the core and the elimination of ineffective goals are formulated. The block diagram of the algorithm for selecting one goal is given. A fuzzy controller for target selection is described. Functional structures are proposed for the implementation of the goal control, which represent the upper levels in the subsystem of the cognitive control system. These levels consist of input and output operating machines, as well as finite control automata. The input operating automata handle the knowledge that comes from the knowledge and cognition subsystems, and the output operating automata form the knowledge for these subsystems. At the level of goal control, the FSM initiate the selection of a scenario for achieving the goals. In turn, these state machines are initiated and adapted by signals from the goal-setting level.

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References
  1. Poliakov, M. (2017). Cognitive control system: structures and models [Kognitivnyie sistemyi upravleniya: strukturyi i modeli.] /Poliakov, M.. //Electrotecnic and computer systems. - №25 (101). 2017. P. 387-393.
  2. Poliakov, M.,. Henke, K. and Wuttke, H.-D., (2017). "Prospects for constructing remote laboratories for the study of cognitive systems," 2017 9th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), Bucharest, pp. 965-968.
  3. Poliakov, M. A.(2017) Set-theoretical models of functional structures of systems of cognitive control [Teoretiko- mnozhestvennyie modeli funktsionalnyih struktur kognitivnogo upravleniya].//System technologies. №3 (110). - Dnipro, - P. 16 - 23.
  4. Dictionary of practical psychologist (1998) [Slovar prakticheskogo psihologa]. / Sost. Golovin, S. Yu. // Harvest, Minsk, 622 p.
  5. GOST R ISO / IEC 12207-2010 Information technology. System and software engineering. Processes of the life cycle of software. (2011), [GOST R ISO/MEK 12207-2010 Informatsionnaya tehnologiya. Sistemnaya i programmnaya inzheneriya. Protsessyi zhiznennogo tsikla programmnyih sredstv]. / Moscow: Standartinform, 105 p.
  6. Kubryakova, E. S (1997) Short dictionary of cognitive terms [Kratkiy slovar kognitivnyih terminov]. / Publisher: Filol. Faculty of Moscow State University. M.V. Lomonosov. 245 p.
  7. Scientific session of NNPU MEPhI-2010. XII All-Russian Scientific and Technical Conference "Neuroinformatics-2010": Lectures on Neuroinformatics (2010) [Nauchnaya sessiya NIYaU MIFI–2010. XII Vserossiyskaya nauchno-tehnicheskaya konferentsiya «NEYROINFORMATIKA–2010»: Lektsii po neyroinformatike  ]. / - M .: NNIU MEPI, 328 p.
  8. Tsvetkov, V. Ya., Solovev, I. V. (2016) Principles of cognitive management of a complex organizational and technical system. [Printsipyi kognitivnogo upravleniya slozhnoy organizatsionno-tehnicheskoy sistemoy]. / State Counselor. Izd .: Ecological assistance (Voronezh) №1 (13), p. 27-32.
  9. Karpov, Ju. G. (2002) Automata theory [Teoriya avtomatov]. – Saint Petersburg, Piter, 224 p.
  10. Leonenkov, A. V. (2005) Fuzzy modeling in MATLAB and fuzzyTECH. [Nechetkoe modelirovanie v srede MATLAB i fuzzyTECH]. - St. Petersburg BXV- Petersburg, -736 p.
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9 Dec 2018

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