Conceptual model of self-consciousness for the sign world view of intellectual agent

Authors

Chudova N. Kuznetsova Y.

Annotation

The article deals with the problem of self-consciousness modeling for intelligent agents with a sign world view. A conceptual model of self-consciousness is proposed, which includes a description of the "I" sign components and the typology of its relations with other signs of the world view. Features of the content of the "I" sign components are described. The empirical research of the "I" sign semantic component was conducted using the "RSA machine" which allows to carry out a deep linguistic analysis in the interests of socio-humanitarian sciences, and the results of the research are presented. The characteristics of self-consciousness manifested in psycho-diagnostic questionnaires were correlated with the similar characteristics presented in the self-presentation essay. It is concluded that a certain role behavior (e.g. a victim or a successful self-manager) affects the person’s unconscious using of a particular type predicates. It allows us to believe that the methods of automatic text analysis are appropriate for a research of the dynamics of the meaning of the intelligent agent’s sign "I". In general, the proposed model of self-consciousness demonstrates the manner of interaction between the network of meanings and the network of names in the sign world view of the intellectual agent, and therefore shows the usefulness of the text analysis approach in the design of intelligent agents with a "consciousness".

External links

DOI: 10.14357/20718594180408

Download PDF from the Institute for Systems Analysis of the Russian Academy of Sciences website (in Russian): http://www.isa.ru/aidt/images/documents/2018-04/86-94.pdf

Download PDF from eLibrary (in Russian, registration required): https://www.elibrary.ru/item.asp?id=36643715

Reference link

Chudova, N. V., Kuznetsova, Yu. M. (2018) Conceptual model of self-consciousness for the sign world view of intellectual agent // Artificial Intelligence and Decision Making, № 4, pp. 86–94.