JOURNAL ARTICLE

Development of computer games using artificial game intelligence technologies

Abstract

The article is devoted to the topical issue of finding new effective methods and improving existing common ways of developing computer games using artificial intelligence technologies. The main focus is on finding and improving the efficiency of tools for building computer games through the introduction of modern technologies. The article presents the following statement of the problem: the use of modern research in the field of artificial intelligence — one of the surest ways to solve complex problems in the gaming industry. It is known that the requirements of modern gamers for computer games are quite small, so developers need to focus on such innovations that can ensure the introduction of new gaming artificial intelligence technologies. To do this, it is necessary to analyze ways to build the game, to develop algorithms for assessing the current level of skills of the player to offer him during the game situations that give more interest to the gameplay. Solving the problem allows you to reduce computational complexity and improve the quality of decisions made in real time. To solve this problem, the article describes: methods of using gaming artificial intelligence technologies, considers the logic of this game by different methods, reveals whether gaming artificial intelligence is a subsector of a large field of artificial intelligence, describes machine learning methods and explains why machine learning is not always appropriate. used in game development, describes the main directions of development of artificial intelligence in the further development of computer games, as well as the principle of building games using the algorithm for assessing the skills of the player and the game engine Unity.

Keywords:
Computer science Artificial intelligence Field (mathematics) Computer game Game Developer Quality (philosophy) Problem statement Focus (optics) Video game development Game mechanics Game design Management science Multimedia Mathematics Engineering

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FWCI (Field Weighted Citation Impact)
3
Refs
0.30
Citation Normalized Percentile
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Topics

Artificial Intelligence in Education
Physical Sciences →  Computer Science →  Information Systems

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