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V. I. Baluta, V. P. Osipov, Yu. G. Rykov, B. N. Chetverushkin On Different Interpretations of Cognitive Map Technology in the Analysis of Complex Systems |
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Abstract.
A complex system is a system consisting of a large number of elements and connections between them. A convenient representation for a complex system is a cognitive map: an orgraph, the vertices of which are interpreted as elements of the system, and the edges as connections between them. In the case of natural technology systems, communications are causal. It is possible to assign characteristics of various nature (numerical, vector, functional, etc.) to vertices and edges, as well as to determine the laws connecting these characteristics. In this case, the properties of the cognitive map reflect the properties of the system under study. The article describes an alternative interpretation of cognitive maps proposed earlier by the authors, and compares this interpretation with a number of previous ones – the cognitive maps of Roberts, Kosko, and Silov. The conclusion is substantiated that the proposed interpretation is a generalization in a number of aspects of previous interpretations and is a convenient tool for studying poorly structured situations.
Keywords:
complex system, cognitive modeling, weighted digraph, Roberts cognitive maps, Kosko cognitive maps, Silov cognitive maps, degree of influence, coefficient of influence, graph partitioning into cycles, weakly structured situation.
DOI 10.14357/20718632260107
EDN JWIQDD
PP. 80-91.
References
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