Multi-Agent Methods for Creating Knowledge Bases

G.B. Evgenev

Currently, artificial intelligence technologies have begun to attract special attention at the state level. The development of artificial intelligence technologies will make quick and optimal decisions based on the analysis of large amounts of data, and will also give great advantages in the quality and effectiveness of engineering design and production management. The foundation of artificial intelligence is knowledge. Knowledge is initially classified according to the attributes ―clarity‖, ―accessibility‖, ―propositionality‖ and ―level of abstraction‖. To build a bank of engineering knowledge, on the basis of clarity, knowledge must be explicit, on the basis of accessibility, interorganizational, on the basis of propositionality, active, and on the level of abstraction, common. There are two categories of knowledge - passive and active. Passive knowledge is text documents stored in books, methods, and the like. To transform this knowledge into artificial intelligence systems, a highly efficient technology is needed that allows knowledge carriers to create knowledge bases without the involvement of programmers. This technology is described in this article.

Volume 11 | 12-Special Issue

Pages: 1398-1407

DOI: 10.5373/JARDCS/V11SP12/20193360