Comparision identification of models of intelligent activity

Abstract

Retroactive analysis of scientific and technical progress reveals that all previous stages were linked with attempts to enhance the physical power of man and develop new construction materials. In this sense, the present stage of scientific and technical progress is unique. The advent of computers has provided us, for the first time in human history, with a tool for enhancing our intellectual powers. This is attributable to the implementation of all the relatively complex intellectual functions by computers. The process began with the implementation of algorithmic computational procedures, and is rapidly developing toward computerization of progressively more complex intellectual processes: situation recognition, semantic analysis of information, acquisition of new knowledge, decision making, etc. On the whole, this is the artificial intelligence problem. The central topic of this problem is the construction of a system of formal models of human intelligent activity. PHENOMENOLOGICAL MODEL OF HUMAN INTELLIGENT ACTIVITYSubstantively, a general model of intelligent activity can be described as follows. An individual endowed with a sensory system creates an individual information image of a certain situation in the context of the environment and then analyzes the information to construct his behavior in the context of broad understanding. This may lead to manifestation of activity in any form, logical deduction, acquisition of new knowledge, etc. We denote by @ the set of external stimuli on the human sensory system in a specific situation, and by Ji its information image for individual i. Then J~(t) = ~'i [o (t -r), t].(1)Here t is the current time, ,t, i is the individual information mapping operator, r is the delay associated with the inertial propertie ~ of the sensory system. The individual behavior is described by the equationwhere 1-[ i is the individual behavior operator. It is useful to distinguish between two models: the model of reflex (unconscious) behavior, which involves execution of rigid algorithms similar to automatic control, such as stabilization of the body center of mass when walking, and the model of active (conscious) behavior, based on intelligent processing of information. In what follows, we only consider models of the second type. The transition to formal models requires identification of the operators q/i and H i. IDENTIFICATION PROBLEMThe synthesis of formal models involves solution of two problems: structural identification, i.e., determination of the form of the operator that establishes the relationship between input and output, and parametric, or qualitative, identification.

Devising a method for identifying the model of multi-criteria expert estimation of alternatives

“…1) determine values of relative "weights" of the criteria in the interval and point expression (20) to (25), i.e., the degree of their impact on the generalized estimation of alternatives;…”

“…To construct the utility functions for each partial criterion and normalize their values, the following formula will be used [25,26]:…”

“…to develop methods of structural and parametric identification of the mathematical model of individual multicriterial estimation of alternatives in the framework of MAUT axiomatics based on the ideas of the theory of comparative identification [25];…”