The application of artificial intelligence in the game field

Xiangyu Zhou

doi:10.54254/2755-2721/42/20230693

Research Article

Open access

Published on 23 February 2024

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Zhou,X. (2024). The application of artificial intelligence in the game field. Applied and Computational Engineering,42,83-89.

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The application of artificial intelligence in the game field

Xiangyu Zhou *^,1,

¹ Southwest University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/42/20230693

Abstract

With the rapid development of artificial intelligence technology, its application in the field of games is increasingly widespread. At present, the application of artificial intelligence in games has become a research hotspot. This article mainly explores the application of AI in various types of games such as first person shooter (FPS), Role playing Games (RPGs), Strategy, and analyzes their advantages and disadvantages based on the category of the game. Specifically, this article explores the application of AI in FPS games, focusing on how AI controls the behavior and strategies of enemies to provide players with challenging and realistic experiences. In the context of RPGs, the paper analyzes AI's impact on intelligent decision-making and interaction with non-playable characters (NPCs). Intelligent NPCs create a more authentic and immersive interaction between players and game characters. In the case of strategy games, AI enhances the strategic and challenging aspects, offering a more layered and dynamic gaming experience, and pushing players' decision-making abilities and strategic thinking. Additionally, the article discusses the limitations and challenges of AI in games. This paper summarizes and prospects the application of AI in the field of games.

Keywords

Artificial Intelligence, game, FPS, RPGs

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References

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Cite this article

Zhou,X. (2024). The application of artificial intelligence in the game field. Applied and Computational Engineering,42,83-89.

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 2023 International Conference on Machine Learning and Automation

Conference website: https://2023.confmla.org/

ISBN：978-1-83558-309-8(Print) / 978-1-83558-310-4(Online)

Conference date: 18 October 2023

Editor：Mustafa İSTANBULLU

Series: Applied and Computational Engineering

Volume number: Vol.42

ISSN：2755-2721(Print) / 2755-273X(Online)

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