This article presents results of a theoretical investigation of the application of the objectoriented Unified Modelling Language to a formal description of Neisser's cycle of perception. The article includes class diagrams, modelling the spatial structure of Neisser's cycle of perception and demonstrates how these formal descriptions can be applied to the area of modelling the problemindependent dialogue process. The basis of such applications is the assumption that the dialogue process in relation to either of the dialogue agents is similar to the process of routine perception of the environment in accordance with Neisser's understanding of perception.

The purpose of this paper is to increase the efficiency of functionality and reliability of Complex Recycling Technical Systems (CRTS) community, through improving the control quality of their life cycle. Automated Control System (ACS) on the basis of Neural Super-Network learning for forecasting damages and ensuring its information representation for learning was proposed. In the paper it was suggested an architecture and a method of learning of a neural super-network for forecasting the progress of CRTS community life cycle.

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