THE MIVAR APPROACH AS A BASIS FOR A QUALITATIVE TRANSITION TO A NEW LEVEL IN THE FIELD OF ARTIFICIAL INTELLIGENCE

• Main Author: O. O. Varlamov
• Format: Article
• Language: English
• Published: CRI «Electronics» 2017-11-01
• Series: Радиопромышленность
• Subjects: keywords: mivar; mivar nets; intelligent systems; artificial intelligence; databases; expert systems; meaning understanding; image recognition; robot; algorithms calculation; mivar method of fast logical inference
• Online Access: https://www.radioprom.org/jour/article/view/250
• ISSN: 2413-9599; 2541-870X

The  mivar  approach  main  originality  is  that  three  mivar  technologies  are  combined  on  the  basis  of  epistemological multidimensional  evolutionary  databases  and  the  «Thing–Property–Relation»  rules  in  which  the  automatic algorithm constructor with linear computational complexity and/or the logical inference on bipartite directed mivar networks «Object–Rules»  are  implemented.  Mivar  practical  using  proved  that  logical  inference  is  made  now  on  an  ordinary  laptop  with a speed of more than 5 million product rules / second. The task of logical inference on products must be excluded from the class of NP-complete tasks, because mivar method of logical inference with a linear computational complexity solution not using either a full search of options or heuristics is found and patented. In computer science mivars solve the problems of accumulating  and  processing  information.  By  results  of  2017  software  products  based  on  the  miware  approach  have already  been  created  for:  Expert  systems  –   Wi!Mi;  Razumator;  Texts  meaning  understand  –   Tel!Mi;  Decision-making systems  for  autonomous  robots  –   Robo!Razum.  Wi!Mi  technology  is  used  in  Tel!Mi  for  meaning  understanding.  Tel!Mi automatically allows to teach Wi!Mi Razumator and Robo!Razum with the texts of the instructions. In total these products can be used for the Internet of things and other cyberphysical systems since mivar products Wi!Mi, Tel!Mi, Robo!Razum can work on one usual (rather cheap) computing module «processor-memory». So the mivar approach to the accumulation of data and information processing combines the main directions of artificial intelligence at the logical level of research: expert systems, language understanding, image recognition, ACS and intelligent autonomous robots. Therefore it is the mivar approach that is the basis for a qualitative transition to a new level in the artificial intelligence field.