COGNITIVE FUNCTIONS AS THE ADEQUATE INSTRUMENT FOR THE FORMAL SUBMISSION OF CAUSE AND EFFECT ASSOCIATIONS
In this article application of the method of computerized system-cognitive analysis and its programmatic tooling - system "Eidoses" for detection of cause and effect associations from the trial-and-error data is considered. In the capacity of a toolkit for the formal submission of cause and effect associations cognitive functions are tendered. Cognitive functions represent many-valued interval functions of many arguments in which one various value of function in a various degree match to various value of arguments, and the quantitative standard of this correspondence appears to be the knowledge, i.e. the information about cause and effect associations in the trial-and-error data, beneficial to a goal achievement