Abstract: The article is devoted to the study of the problems of building a knowledge system capable of becoming the basis for the functioning of creative artificial intelligence capable of solving creative problems. The key question, the answer to which determines the possibility of building such a system, is to determine the rationality of the creative process, i.e. the possibility of its formalization within the framework of deterministic methodology. If it is possible, it is also possible to build a knowledge system that can become the basis of creative artificial intelligence. The theoretical basis for this construction can be the general theory of systems, but not in the form in which it exists at present. The successful development of the general theory of systems, which allows us to comprehend the phenomenon of creativity, requires the expansion and systematization of existing knowledge about the manifestation of isomorphism in the universe: the creation of representative collections of patterns, primitives, and secondary laws, reliably confirmed empirically, but not fully deterministic. The article chooses cognitive systems, which include all autonomous cognitive systems (both animate and inanimate; both intellectual and non-intellectual) endowed with self-consciousness, as the object of research. The determining mechanism of knowledge systematization for creative artificial intelligence is the mechanism of multisystem integration of knowledge, which is based on the integration of knowledge from different subject areas, from different levels of the universe organization for their generalization and use outside the areas of their identification for solving creative tasks. An important tool of low-level generalization of data and knowledge in general, which is one of the sources of formation of systemic holistic knowledge, are neural schemes reflecting elementary relations between elements of one system, as well as typical relations of elements in different systems.

Keywords: determinism, general systems theory, multi-system integration, neural circuits, creativity, self-awareness, creative artificial intelligence, cognitive systems, knowledge system, neural net