CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
MODELING OF AGENTS BEHAVIOR TO IMPLEMENT GAMING ARTIFICIAL INTELLIGENCE
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Read | Anokhin Alexander O., Sadovnikova Natalia P., Kataev Alexander V., Parygin Danila S. MODELING OF AGENTS BEHAVIOR TO IMPLEMENT GAMING ARTIFICIAL INTELLIGENCE // Caspian journal : management and high technologies. — 2020. — №2. — pp. 85-99. |
Anokhin Alexander O. - Volgograd State Technical University, alex.anokhin.st@gmail.com
Sadovnikova Natalia P. - Volgograd State Technical University, npsn1@ya.ru
Kataev Alexander V. - Volgograd State Technical University, alexander.kataev@gmail.com
Parygin Danila S. - Volgograd State Technical University, dparygin@gmail.com
The paper discusses the effectiveness of machine learning in modeling the behavior of intelligent agents. The main attention was paid to the analysis of methods for constructing behaviors of intelligent agents. Some of the existing software solutions that implement these methods in gaming applications reviewed and their features and disadvantages considered. A new software platform for modeling the behavior of intelligent agents using an automaton approach as a way of describing agent behavior was developed based on the analysis results. Testing of the developed agent behavior model showed that it can be used to create artificial intelligence for games. This artificial intelligence will demonstrate quite realistic behavior of game characters in various situations. The platform is implemented in C++; the SFML library was used for visualization.
Key words: игровой искусственный интеллект, обучения с подкреплением, интеллектуальный агент, машинное обучение, модель на правилах, дерево поведения, конечно-автоматная модель, game artificial intelligence, reinforcement learning, intelligent agent, machine learnin