AI in Gaming - A Critical Analysis of Video Games and Exploring Future Potential

Authors

  • Divyam Gupta Author

Keywords:

AI, gaming, literature, influence, research, gaming sector, game mechanics, Managing individual players’ impressions, existing games

Abstract

This research aims to analyse the extensive influence of AI on the gaming sector in terms of the present use, player perspective, aspect of game creation, and possibilities for the future. The study focuses on identifying new generative models of game mechanics with the help of deep learning, reinforcement learning and procedural content generation; The development of intelligent NPC and environment; and the improvement of playability and interactivity in the existing games. Managing individual players’ impressions, suggesting better ways of team formation, and automation workflow and game mechanics are discussed concerning the key role of AI. The paper also answers two key ethical questions; data privacy and the creation of highly addictive games using AI. Serving as a research-based study, this paper follows a qualitative methodology and when supplemented by secondary data drawn from articles, reports and cases makes a rounded empirical review of the impact of AI in the gaming industry. The research shows that the AI benefits include improving the level of realism in a game and interactions with the player increasing effective and efficient development processes and reducing expenses. However, some issues such as the ethical considerations and how to maintain fairness in gameplay are acknowledged. The study provides guidelines regarding the employment of AI to enhance the development and quality of games for developers and other related interest groups. Therefore, this research provides original ideas to address the gap observed in the existing literature regarding the current and future effects of AI in gaming.

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Published

19-08-2024

How to Cite

AI in Gaming - A Critical Analysis of Video Games and Exploring Future Potential. (2024). International Journal of Information Technology and Computer Engineering, 12(3), 459-477. https://ijitce.org/index.php/ijitce/article/view/698