The Exploring of AI Applications in Game Development

Recent advances in artificial intelligence technologies have begun to transform the gaming industry, especially in the areas of player-character interaction and narrative development. Traditionally, game stories and character relationships are predefined through scripted dialogues and sequences, which requires developers to invest a lot of time and effort. However, AI-driven approaches such as large language models (LLMs) and deep learning techniques offer a dynamic alternative that can enable more flexible, player-driven interactions and adaptive AI behaviors. This paper comprehensively reviews the current role of AI in game design from multiple perspectives, including applications in multi-agent interaction, procedural level and game content generation, and game development process optimization. In addition, this study explores the advantages and limitations of AI technology, coping with technical challenges, and ethical issues that may arise during the implementation of AI. The results are intended to provide a reference for the future application of AI in game design and provide recommendations for coping with emerging risks.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-05-22
DOI
https://doi.org/10.54254/2755-2721/2025.tj23324
Citations
1
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
2.48
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article

The Exploring of AI Applications in Game Development

Yiyang Cui
1 citations
Applied and Computational Engineering
Artificial Intelligence in Games
2.48
article

The Exploring of AI Applications in Game Development

Yiyang Cui
article en
1 citations

Abstract

Recent advances in artificial intelligence technologies have begun to transform the gaming industry, especially in the areas of player-character interaction and narrative development. Traditionally, game stories and character relationships are predefined through scripted dialogues and sequences, which requires developers to invest a lot of time and effort. However, AI-driven approaches such as large language models (LLMs) and deep learning techniques offer a dynamic alternative that can enable more flexible, player-driven interactions and adaptive AI behaviors. This paper comprehensively reviews the current role of AI in game design from multiple perspectives, including applications in multi-agent interaction, procedural level and game content generation, and game development process optimization. In addition, this study explores the advantages and limitations of AI technology, coping with technical challenges, and ethical issues that may arise during the implementation of AI. The results are intended to provide a reference for the future application of AI in game design and provide recommendations for coping with emerging risks.

Applied and Computational EngineeringVol. 158(1)
Monash University (AU)
Openalex Percentile: Top 10%
Artificial Intelligence in Games
2.48
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The Exploring of AI Applications in Game Development — Yiyang Cui · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS