Natural-constructive approach to modeling the cognitive process

Abstract

We present a “natural-constructive approach” to modeling the cognitive process, which is based on the dynamic theory of information, the technique of nonlinear differential equations, and the concept of a “dynamic formal neuron.” The version of cognitive architecture that was designed within the natural-constructive approach is presented. One important constructive feature of this architecture consists in splitting up the entire system into two similar hemi-systems (by analogy with the right and left cerebral hemispheres). One of these is responsible for the generation of information and learning, with other one being responsible for the reception and processing of well-known information. This functional specialization is provided by the presence of noise (a random factor) in the generation hemi-system; in the reception hemi-system, all the processes should proceed successively rather than stochastically. The interpretation of the concepts of intuition, logic, consciousness, and sub-consciousness is discussed. The architecture that is designed within the natural-constructive approach is compared with other theoretical approaches (graph theory and the “cognitom” concept), and with anatomical data. The concept of an experiment is proposed that could verify or disprove the main inferences of the natural-constructive approach.