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Computer algorithm of human habit formation
 
PIIS042473880014910-0-1
DOI10.31857/S042473880014910-0
Publication type Article
Status Published
Authors
Victor Istratov 
Occupation: Leading Research Associate
Affiliation:
Central Economics and Mathematics Institute, Moscow
Saint Petersburg State University, Saint Petersburg
Address: Moscow, Russian Federation
Journal nameEkonomika i matematicheskie metody
EditionVolume 57 Issue 2
Pages135-147
Abstract

Human habits have long come to the attention of scientists, but so far neither a common understanding of them within different fields of knowledge, nor a preferred way of formalizing both them and the process of their emergence has been developed. For the purpose of our work, we defined habit as an action, whose execution became automatic and is provoked by the occurrence of certain conditions. This interpretation was incorporated into the proposed computer algorithm of habit formation. We extended the conventional requirement that a habit emerges through training with important conditions that determine the possibility and features of habit formation: 1) desirability of action, 2) action effectiveness under certain external conditions, 4) unconsciousness of action performing, 3) stability of external circumstances. Likewise the unconsciousness of action performing was defined through a number of conditions. The algorithm is designed for discrete-time models. A habit is explicitly represented in the algorithm: as a separate class (programming data type). Whenever was possible, we preferred discrete approaches over those employing continuous functions. After the implementation of the algorithm in a programming language, quantitative experiments were carried out on artificial data. The algorithm successfully produced habits in all experiments without creating uninterpretable outcomes. The algorithm has demonstrated significant flexibility and versatility in relation to behavior model. Applied research will require threshold values that describe the object of study.

Keywordshabit, behavior, decision making, modeling, mathematical modeling, computer simulation
AcknowledgmentThis study was supported by the Russian Foundation for Basic Research (project 18-010-01091).
Received16.06.2021
Publication date25.06.2021
Number of characters32064
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