Abstract
This paper proposes a computational scheme for building a knowledge base of a real system, by measuring and processing the online data stream coming from the system. By assumption the real system under investigation is from the type of evolving systems that dynamically change (evolve) their parameters, structure and behavior with time. The proposed knowledge base is a kind of spatial-temporal model of the evolving system. It consists of memory cells that dynamically change by number (growing or pruning), contents and location in the input system space. Each memory cell makes weighted averaging of the output information, by using a memory buffer with a limited size that keeps the older information, arranged by a level of importance. The newer information is given bigger importance than the older one. All computational steps are discussed in the paper. A synthetic example of a 2-dimensional evolving system is explained in a graphical way (as gray-scale images) in the paper, for a better understanding of the whole computational technology. Finally some ideas for possible real applications of the proposed knowledge base are discussed.
