[Systems analysis of behavior in conditions of environmental uncertainty]

The paper deals with the organizational features of the functional behavior system under environmental uncertainty conditions (probability training processes, formation of a conditioned reflex at a low intensity of a signal stimulus), as well as with the probability pattern of reinforcement. It shows that the experimental findings are not always in full conformity with the classical behavior act model developed by P. K. Anokhin. The main difficulty is associated with the fact that the above model in its systems content considers a behavioral act merely alone whereas while teaching under great uncertainty conditions, correction of the programme of actions is possible only when many search reactions are simultaneously analyzed. While making a systems analysis of behavioral performance, it is proposed to use a concept of probability decision to alter the programme of action, as well as an idea of memory buffer (results of search reactions). The proposed approach allows one to describe various training conditions, and it operates as the Anokhin model in a specific case. The organizational features of the functional system of behavior under great uncertainty conditions should be taken into account while specifying the informational mechanism responsible for systems quantization of behavior. The above mechanism of the comprehensive evaluation of the positive and negative results of the performed pattern of behavioral acts can be used to explain the discreteness of an action in the programme alteration process when the same quantum of behavior is implemented.