Abstract
An algorithm for processing weakly formalized information is proposed, which is based on the methods of processing and storing information that are used in living organisms. In particular, the compactness of storage and processing of heterogeneous information according to a single algorithm, the generation of new information based on the comparison of recently received and processed information in a certain way with previously received and processed information, consideration of priorities in the processing and use of information, consideration of recurring patterns in the incoming information, based on which develops a stereotype of animal behavior. This approach makes it possible to efficiently store weakly formalized information, i.e. store not all incoming information, but only the results of its special processing, And also effectively process a large volume of incoming weakly formalized information (by taking into account priorities), identify recurring patterns in the flow of incoming information, effectively generate new knowledge, (analyze stored in memory, the results of special processing of weakly formalized information).
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