Saltykov A B, Toloknov A V, Khitrov N K
Vestn Ross Akad Med Nauk. 1995(10):59-67.
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.
本文探讨了环境不确定性条件下（概率训练过程、信号刺激强度较低时条件反射的形成）功能行为系统的组织特征，以及强化的概率模式。研究表明，实验结果并不总是完全符合P.K.阿诺欣提出的经典行为动作模型。主要困难在于，上述模型在其系统内容中仅单独考虑行为动作，而在高度不确定性条件下进行教学时，只有同时分析多个搜索反应，才有可能对行动方案进行修正。在对行为表现进行系统分析时，建议使用概率决策概念来改变行动方案，以及记忆缓冲（搜索反应结果）的概念。所提出的方法能够描述各种训练条件，并且在特定情况下其作用类似于阿诺欣模型。在确定负责行为系统量化的信息机制时，应考虑高度不确定性条件下行为功能系统的组织特征。上述对所执行行为动作模式的正负结果进行综合评估的机制，可用于解释在实施相同行为量时行动方案改变过程中行动的离散性。
