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A Conceptual Model of the Regulation of the Behavior of Intelligent Agents on the Meanings Network

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Abstract

A theoretical study of the concepts that are relevant to the problem of modeling the conscious regulation of the behavior of intelligent agents that rest on the semiotic world view is made. The idea is substantiated that coping strategies (coping behavior) considered as conscious social behaviors, which are separate elements by which a person copes with life difficulties, are adequate to the requirements that arise in artificial intelligence in relation to modeling the behavior of an intelligent agent in situations associated with obstacles. It is argued that in a collision with an obstacle on the path of achieving a goal, an intelligent agent should turn to control through the meanings network and act within one of four plots (achieving the goal, minimizing the cost, changing the goal, and setting a supergoal). The empirical psychological study makes it possible to describe some characteristics associated with each of the behavioral strategies identified in the coping theory.

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Authors and Affiliations

  1. Institute for Systems Analysis, Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, 117312, Russia

    N. V. Chudova

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  1. N. V. Chudova
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Correspondence to N. V. Chudova.

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Original Russian Text © N.V. Chudova, 2017, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2017, No. 4, pp. 23–32.

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Chudova, N.V. A Conceptual Model of the Regulation of the Behavior of Intelligent Agents on the Meanings Network. Sci. Tech. Inf. Proc. 45, 390–397 (2018). https://doi.org/10.3103/S0147688218060035

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