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Mathematical modeling of deep learned artificial intelligence and axiomatic for system-informational culture implementation

机译:系统信息文化实现的深度学习人工智能和公理化数学模型

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In system-informational culture (SIC) man is occupied by inter discipline activity proceeding in computer instrumental systems (S_(I)). So, natural intellect (I_(N)) and artificial intelligence (I_(A)) must achieve semantic level of communication. It becomes possible due to deep learning of the partners both. Meanings as the utmost mathematical abstractions have been already applied in computer sciences and human mind is backward. By authors’ opinion person’s subjectization in SIC can be accomplished with the help of rational educational model (E_(R)), system axiomatic method (AM_(S)) usage, and technology of universal I_(N) tutoring (T_(U)) implementation in the form of I_(A).
机译:在系统信息文化(SIC)中,人们忙于计算机仪器系统(S_(I))中从事的跨学科活动。因此,自然智能(I_(N))和人工智能(I_(A))必须达到通信的语义级别。由于双方的深度学习,这成为可能。作为最大的数学抽象的含义已经在计算机科学中得到应用,而人类的思想却落后了。根据作者的意见,可以通过合理的教育模型(E_(R)),系统公理方法(AM_(S))的使用以及通用I_(N)辅导技术(T_(U))来完成SIC的人员主题化。 )以I_(A)的形式实现。

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