Journal: Journal of Computing and Information Technology
Number: 3 ISSN: 1330-1136 Volume: 2 Year: 1994 Pages: from 167 to 179 Number of references: 17 Language: engleski Summary: The structure of a knowledge base designed by using an
extension of the knowledge representation scheme KRP originally developed
for the knowledge representation in computer vision systems, is presented
in this paper. The HETHI - heterogeneous hierarchical knowledge base
consists of one level of the Kanerva-like sparse distributed memory (SDM)
and knowledge base designed by the KRP knowledge representation scheme
based on Petri Net theory. The lowest level of the HETHI implemented by
Kanerva-like SDM performs associative retrieval information process and
supports initialization of the inheritance process at the higher levels of
the HETHI. Higher levels of the HETHI are semantic and rule-based levels.
In this paper we discuss different reasoning procedures which are supported
by the HETHI> pure associative inference, or the so-called recall
procedure which is performed only by means of the first level of the HETHI;
inheritance procedure defined at semantic level, and finally, inheritance
procedure based on cooperation of the associative recall and inheritance
procedure defined at semantic level.