PROBLEMATIC NATURE OF THE INFORMATION- KNOWLEDGE- PREDICTION-RELATED ATTRACTORS IN THE SCIENCE SYSTEM (Problemny kharakter informatsiino-znannyevo-prohnoznykh atraktoriv u systemi nauky)

Self-organizing processes within the science system are studied on the basis of model attractors such as information, knowledge and prediction. The analysis deals with the theory of scientific knowledge development and practical science of science (science studies). By example of the State Fund for Basic Research it is shown that the development of scientific knowledge is only possible by way of innovation, that is, creation of virtual entities with rational and effective system of action. Information resources are treated as a characteristic of the level of systematization and complexity of knowledge systems, and as their evaluation criteria. Specificity of building up authentic knowledge systems and ensuring the opened access to information knowledge as a driver for scientific initiative and creativity are analyzed. Emphasis is made on technical prediction: studies of tendencies, identification of new problems and ways for their solutions. Examples of science capabilities and prospects are given, which convincingly proves the need for change in the current S&T policy (its formulation and implementation) through defining the development priorities. The problem related to applications of a sound system for evaluating results of basic research is shown in detail.