Relationships and Operations in a Sign-Based World Model of the Actor
- Authors: Osipov G.S.1, Panov A.I.1
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Affiliations:
- Federal Research Center Computer Science and Control
- Issue: Vol 45, No 5 (2018)
- Pages: 317-330
- Section: Article
- URL: https://journals.rcsi.science/0147-6882/article/view/175404
- DOI: https://doi.org/10.3103/S0147688218050040
- ID: 175404
Cite item
Abstract
According to the modern theories on the emergence of mental functions and the respective role of neurophysiological processes, the formation of mental functions is associated with the existence or communicative synthesis of specific information structures that contain three types of information of different origins: information from the external environment, information extracted from memory, and information from motivation centers. These components are bound together via their naming; this also ensures the stability of the emerging structures. We refer to such information structures as signs due to their resemblance to similar structures that have been studied in semiotics. A set of signs formed by a actor during activities and communication produces their sign-based world model, which reflects their ideas about the environment, themselves, and other actors. The sign-based world model allows setting and solving a number of tasks arising in behavior modeling for intelligent agents and their coalitions such as goal-setting, purposeful behavior synthesis, role distribution, and the interaction of agents in the coalition. This paper studies a special object, that is, the causal matrix, which describes the structure of the sign components. Operations and relationships in the sign-based world view model, which simulates the psychological characteristics of human behavior, are determined on this basis.
About the authors
G. S. Osipov
Federal Research Center Computer Science and Control
Author for correspondence.
Email: gos@isa.ru
Russian Federation, Moscow, 119333
A. I. Panov
Federal Research Center Computer Science and Control
Email: gos@isa.ru
Russian Federation, Moscow, 119333
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