Work

Using Machine Learning to Model the Behavior of an Intelligent Agent in a Strategic Game

Year: 2025

Type: article

Abstract: The creation of intelligent agents for board games is based on various decision-making methods. The article discusses the minimax algorithm and the Monte Carlo method, which are used in well-known intellectual games such as chess and go. The article includes a description of machine learning algorithms that make it possible to obtain an agent capable of making profitable decisions for himself in a short time, based on the condition assessment function. The paper presents the results of testing the obtained intelligent agents.

Source: Applied Mathematics and Fundamental Informatics

DOI: 10.25206/2311-4908-2025-12-1-11-18

Authors: N.I. GILMUTDINOV, I.V. FEDOTOVA

Language: English

Topic: Artificial Intelligence in Games

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4411614955

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