Abstract: In this report we observe the possibilities offered by cognitive methodology of modeling of complex systems (social and economic, sociotechnical) and the developed software from positions of process of knowledge of complex object, and also extraction of different aspects of knowledge from the data about an object. The maintenance and program of researching of complex systems are set in the form of model of a metaset of the researching system, which distinctive feature is the description not only of big system and its interaction with environment, but also introduction in a metaset of "observer" that allows to build methodology of research and decision-making taking into account development of process of knowledge of object in consciousness of the researcher. Generally the model of the complex system is under construction in the form of hierarchical dynamical cognitive model. The mathematical model is exposed to formal researches. Connectivity, complexity, controllability, stability, sensitivity, adaptability and other properties of model on which the conclusion about presence (absence) of similar properties at studied big system becomes are analyzed. In the course of research self-training of the analyst ("observer") takes place by using developed toolkit for extraction of knowledge of object and decision-making.

Keywords: The expert, extraction of knowledge, cognitive, complex system, model, behavior, structure, decision-making, information technology.

ACM Classification Keywords: I.2.0 General - Cognitive simulation

Link:

COGNITIVE MODELLING AS THE INSTRUMENT IN THE COURSE OF KNOWLEDGE OF LARGE SYSTEM

Galina Gorelova

http://www.foibg.com/ijita/vol18/ijita18-2-p04.pdf