Game-theoretic Methods for Differentiating Systems with Artificial and Anthropogenic Intelligence

Pavel Konyukhovskiy

doi:10.5753/jis.2025.5465

Authors

Pavel Konyukhovskiy Herzen State Pedagogical University https://orcid.org/0000-0002-2940-1049

DOI:

https://doi.org/10.5753/jis.2025.5465

Keywords:

Game-theoretic Methods, Artificial Intelligence, Anthropogenic intelligence, Differentiation of Intelligent Systems, Strategy Games, Bayesian Games, Mechanism Design

Abstract

The aim of the article is to develop procedures for differentiation (identifying) types of intelligent systems at the conceptual level. It is assumed that such systems can be built using both anthropogenic (natural) and artificial intelligence. The relevance of the goal is determined by the spread in the modern world of technologies called “artificial intelligence”, which have a radical all-round impact. The research is based on the methods of strategic game theory. The main hypothesis of the study is reduced to the assumption that different types of intellects in game situations will correspond to stable characteristic models of strategic behavior, by which their differentiation can be carried out. The paper consecutively considers differentiation procedures based on bimatrix games of the class “family dispute” (games with two Nash equilibrium in pure and one in mixed strategies), differentiation procedures based on static Bayesian games, differentiation procedures based on signaling games. The differentiation methods are based on the hypothesis that carriers of different types of intelligence will consistently (significantly) differ in their strategic behavior in the game. In the conclusion the principles of comparative analysis of different procedures are formulated. The main result of the study is a set of differentiation procedures based on game-theoretic models. These procedures are free from the disadvantages inherent in expert approaches.

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