Application and Problems of AI in Game Development

The application of artificial intelligence (AI) in game development has significantly transformed the dynamics, interactivity, and personalized experiences of games. This paper explores the key applications of AI in game development, including procedural content generation (PCG), non-player character (NPC) behavior and control, as well as automated game testing and quality assurance. PCG enhances replayability and user engagement by automatically generating game content, such as levels and maps, through algorithms. AI-driven NPC behavior makes game characters more adaptive, intelligent, and lifelike, thereby enhancing player immersion. Automated testing utilizes machine learning algorithms to improve testing efficiency and game quality. Despite the numerous advantages that AI brings, there are also challenges related to ethics, technology, creativity, and economics. This paper discusses the potential benefits and challenges of AI in game development and emphasizes the importance of responsible and sustainable application of AI technologies.

Authors

Institutions

Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-26
DOI
https://doi.org/10.54254/2755-2721/110/2024melb0095
Citations
6
Primary Topic
Artificial Intelligence in Games
Type
article
Field-Weighted Citation Impact
2.08
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application and Problems of AI in Game Development

Zi‐Ye Zhao
6 citations
Applied and Computational Engineering
Artificial Intelligence in Games
2.08
article

Application and Problems of AI in Game Development

Zi‐Ye Zhao
article en
6 citations

Abstract

The application of artificial intelligence (AI) in game development has significantly transformed the dynamics, interactivity, and personalized experiences of games. This paper explores the key applications of AI in game development, including procedural content generation (PCG), non-player character (NPC) behavior and control, as well as automated game testing and quality assurance. PCG enhances replayability and user engagement by automatically generating game content, such as levels and maps, through algorithms. AI-driven NPC behavior makes game characters more adaptive, intelligent, and lifelike, thereby enhancing player immersion. Automated testing utilizes machine learning algorithms to improve testing efficiency and game quality. Despite the numerous advantages that AI brings, there are also challenges related to ethics, technology, creativity, and economics. This paper discusses the potential benefits and challenges of AI in game development and emphasizes the importance of responsible and sustainable application of AI technologies.

Applied and Computational EngineeringVol. 110(1)
Purdue University West Lafayette (US)
Openalex Percentile: Top 11%
Artificial Intelligence in Games
2.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.