Artificial intelligence as the cognitive value of heuristic models

Abstract

This article is devoted to heuristic modeling of the structure of interconnections in nano-, bio- and information technologies and in cyber-physical systems, graphic images of which allow studying the fine structure of information sources of various natures. It is shown here that the information content of models of the structure of interconnections of nano-, bio-, information technologies and components of cyber-physical systems is due to the use of a fractal triangle and logic. The current work harmonizes human-computer interaction through digital complementary methods for studying the structure of information sources of various natures, as well as using the circle of natural colors by I. Goethe and a new interpretation of the Star of David. Here we show that balanced conjugate triangles in heuristic models allow inversion of transition states of information sources of different nature. Static, dynamic and statistical generalized heuristic models are based on the balance of resources and the asymmetry of feedback between the elements of a complex dynamic system. Their relationship determines the variability of cyclic processes, and the complementarity of dynamic and statistical heuristic models is associated with the dualism of nature. A systematic analysis of explicit and hidden relationships in information flows of various natures opens up qualitatively new opportunities for a cognitive dialogue with nature and an understanding of reality. The complementarity of heuristic and cognitive models in the transdisciplinary cognitive space provides innovative potential for solving urgent problems of education, science and new technologies. This is especially important for the further development of artificial intelligence and the harmonization of human-computer interaction. In particular, online forecasting of the transient functional states of information sources of various nature under unforeseen conditions simplifies the interdisciplinary exchange of ideas, methods and technologies. Since the number of honeycomb structures in nature is two to three orders of magnitude greater than that of artificial models, their connection with the harmony of colors in nature contributes to the development of emotional intelligence, creating new opportunities for solving relevant security problems.