On Inverse Problem of Artificial Intelligence in System-Informational Culture

Abstract

Inter-discipline activity in system-informational culture (SIC) proceeds in sophisticated scientific world of computer models and instrumental systems. Needed person’s rational self-development occurs only due to great human aspirations directed on understanding of natural sciences semantic. Education direct problem is to give opportunity to mold person’s rational part of consciousness (CR). It is impossible to do without a lifelong deep learned (DL) tutoring partner to help man’s subjectization. Artificial intelligence (IA) inverse problem is to be solved so as natural intellect becomes inheritor of knowledge compressed in the partner. Only DL IA could help to equip naturally CR with trans-disciplinary meanings (TDM) as basis for rational knowledge understanding. Universal learning technology allows achieving the aim because TDM are already given by axiomatic method (AM) of mathesis universalis modeling in categories language (LC). AM and LC are adaptive tools to assist man to identify, investigate, and transit SIC meanings.