The article deals with modern research in the field of decision support. A model of distributed processing of requests by agents of decision support systems is proposed. The main components of the model are considered. An algorithm is built on the basis of the proposed model. A step-by-step description of the algorithm's actions is given. The main planned results have been identified.

Keywords: decision support systems, intelligent agents, request processing, decision support model

The article discusses the problems that arise in pattern recognition related to clustering and data abstraction. Detailed typical data clustering options. The problem of data transformation by vector quantization with the least error is given. A competitive training system for an artificial neural network based on a growing neural gas is described. Using the method of growing neural gas, an improved algorithm of a self-learning artificial neural network of competitive training is proposed. The criteria for completing clustering using the adaptation criterion as a stop criterion are defined. Examples of data clustering by an artificial neural network using the method of growing neural gas are given.

Keywords: clustering, artificial neural network, computer modeling, pattern recognition, self-learning intelligent systems

In this paper, an analysis of the problems and tasks arising from the design of situational awareness tools has been carried out. As a result, it has been established that the approaches in this area do not satisfy the requirements for modern intelligent tools for operational decision support for the reasons for the lack of methods and tools reflecting the dynamics of information processes and a distributed information processing architecture with weakly structured properties. The methods of operating and extracting knowledge from semistructured dynamic information are proposed.

Keywords: Situational awareness, poorly structured data, temporal information, dynamic structures, intellectual analysis

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