1. ARTIFICIALLY-NATURAL ONTOLOGY OF INTELLIGENT SYSTEMS.
- Author
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Rogozov, Yuri
- Subjects
- *
ARTIFICIAL intelligence , *ONTOLOGIES (Information retrieval) , *SCHEME programming language , *COGNITIVE structures , *COMPUTER simulation - Abstract
The paper proposes the concept of building an artificial-natural ontology, which is based on the fact that the subject, creating a model of the object actually creates a meaning of object concepts, and on the fact that the variability of meanings of created object concept can be obtained according to the rules of artificial construction of this concept with the "implicit meaning" in the form of the motion with the "implicit content". To transform this concept with the "implicit meaning" into the same concept, but with a lot of the specific meanings, it is necessary for each particular meaning to convert the content of the structure schemes of the motion with "implicit content" into motion with "specific content". The specific meaning of the studied object is represented as empirical result of thinking in the form of specific types of cognitive processes structures. Methodology of construction of such concepts will form a model of person's variable thinking, reflect the process of formation of concepts meaning with "implicit meaning" and create on their basis the artificially-natural ontology of concepts with "implicit content". [ABSTRACT FROM AUTHOR]
- Published
- 2016