Title:

Artificial Intelligence: Alternating the Highest Human Cognizing,

Author:

Pogossian Edward

Type:

Conference

Subject and Keywords:

Mental systems ; classifiers ; cognizing ; constructed cognizer ; origination of cognizers ; prospecting AI

Abstract:

Progressing outcomes of Artificial Intelligence in constructing basic, root cognizers able to develop to the artificial ones functionally equal to the highest human cognizers produce a significant consequences. In fact, AI proves that realities not only of cellular nature but also the ones constructed, assembled from ordinary available to humans units of matter can attain the highest cognizing of the universe , at least, comparable with one of humans. And since those artificial, constructed highest cognizers are only the assembles of units of matter unconstrained from the mysteries of the origin of cells it is expected to question the necessity of humans or some ones else in assembling, constructing the highest cognizers. In other words, to question the feasibility of origin of highest cognizers in frame of the acknowledged physics. This paper aims to enlighten the base of the above consequences and to track some steps of their grounding.

DOI:

10.1109/CSITechnol.2019.8895031

Language:

English

Journal or Publication Title:

13th International Conference in Computer Science and Information Technologies,

Affiliation:

Institute for Informatics and Automation Problems of NAS RA

Country:

Armenia

Year:

2019