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Theoretical aspects of cognitive modeling of weakly structured systems
Last modified: 11-05-2021
Abstract
The conceptual principles of cognitive methodology, which can be used as a basis for the development of intelligent systems, are presented. The expediency of applying the cognitive modeling method is substantiated. This model combines two types of modeling, such as structural-system and simulation, for the study of poorly structured systems, which is the information system of the enterprise. The algorithm of cognitive modeling and forecasting of the information support system of agrarian entrepreneurship is described. It is investigated that the advantage of the cognitive technique is that it allows obtaining much deeper knowledge about the object of study, the structure of interaction of this object with various internal and external factors, the possible development of existing processes and actions to change it in the right direction. It is established that cognitive modeling allows to make sound management decisions and build an appropriate model of development of a particular situation.
Keywords
cognitive modeling; weakly structured systems; information support; agricultural enterprise; management decision