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Journal of Data Science, Technology, and Computer Science
Published by CV. ADMITECH SOLUTIONS
ISSN : -     EISSN : 2809171X     DOI : https://doi.org/10.63703/distances
Core Subject : Science,
Computer Science & IT
The Journal of Data Science, Technology, and Computer Science is a biannual peer-reviewed journal published by CV. ADMITECH SOLUTIONS. It provides a platform for researchers and professionals to share high-quality articles in the fields of Data Science, Technology, and Computer Science. Topics include (but are not limited to): data analytics, machine learning, big data, software engineering, cybersecurity, artificial intelligence, and computational theory.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1 Documents
 1 
The Future of Artificial Intelligence in 2D Game Development Ahmad Fadhil Naswir
Journal of Data Science, Technology, and Computer Science Vol. 4 No. 2 (2024): December
Publisher : Journal of Data Science, Technology, and Computer Science

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Abstract

The incorporation of Artificial Intelligence (AI) in game development has greatly transformed how games are created, designed, and experienced. Although AI's involvement in 3D games has been thoroughly examined, its use in 2D game creation offers distinct opportunities and challenges. This paper offers an extensive literature review on AI applications in 2D game development, addressing main topics like procedural content creation, adversary behavior, animation improvement, and player experience customization. This review examines recent research and case studies, emphasizing how AI-driven methods are transforming level design, enhancing the adaptability of non-player characters (NPCs), and optimizing the animation process. Nevertheless, in spite of these progressions, 2D game creators encounter difficulties like performance limitations, ethical issues, and the need to harmonize AI automation with human ingenuity. As AI technologies advance, upcoming innovations are anticipated to bring forth more advanced procedural generation methods, adaptive AI-enhanced gameplay, and highly personalized player experiences. This research seeks to close the knowledge gap in AI-powered 2D game development, providing insights into its existing applications and pinpointing research deficiencies that may inspire future advancements in the sector.

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