Research Article
Open access
Published on 29 March 2024
Download pdf
Tian,X. (2024). AI applications in video games and future expectations. Applied and Computational Engineering,54,161-170.
Export citation

AI applications in video games and future expectations

Xinhe Tian *,1,
  • 1 University College of London

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/54/20241484

Abstract

In recent years, artificial intelligence (AI) techniques have been extensively applied in various industries, including the gaming industry. The integration of different AI models into games has brought about a new era of game development, optimization, and overall gaming experience. This paper presents an overview of several AI algorithms that have been utilized in games, discussing their applications and providing predictions for the future of AI in gaming. It outlines how these algorithms have been incorporated into games to improve various aspects of gameplay. The application part of the paper focuses on game content optimization, specifically from the perspective of enhancing player experience. It examines areas such as player interaction and in-game elements, explaining how AI algorithms have been used to optimize these aspects and create a more immersive gaming experience. Furthermore, the future expectations section revolves around further advancements in optimizing the gaming experience and incorporating AI into the game design and development stages. It also discusses potential improvements in hardware that can better support AI integration in games. Finally, the article concludes with a summary and expectations for the future development of AI in gaming, highlighting the potential benefits and advancements that can be achieved through the continued use of AI algorithms.

Keywords

AI applications, game, algorithms, AI interactions

[1]. Botvinick, M., Ritter, S., Wang, J. X., Kurth-Nelson, Z., Blundell, C., & Hassabis, D. (2019). Reinforcement learning, fast and slow. Trends in cognitive sciences, 23(5), 408-422.

[2]. Li lin (2021).Research on application of artificial intelligence in video games based on machine learning. Nanjing information engineering university.

[3]. Wang, C., Lei, S., Ju, P., Chen, C., Peng, C., & Hou, Y. (2020). MDP-based distribution network reconfiguration with renewable distributed generation: Approximate dynamic programming approach. IEEE Transactions on Smart Grid, 11(4), 3620-3631.

[4]. Zheng, B., Verma, S., Zhou, J., Tsang, I. W., & Chen, F. (2022). Imitation learning: Progress, taxonomies and challenges. IEEE Transactions on Neural Networks and Learning Systems, (99), 1-16.

[5]. Wang Yuxuan (2019).Analysis of the development and application of game artificial intelligence. Science and Technology Communication (02):125-126.

[6]. Edureka:What is fuzzy logic in AI and what are its applications https://www.edureka.co/blog/fuzzy-logic-ai/

[7]. Lambora, A., Gupta, K., & Chopra, K. (2019, February). Genetic algorithm-A literature review. In 2019 international conference on machine learning, big data, cloud and parallel computing (COMITCon) (pp. 380-384). IEEE.

[8]. Ling, C., Tollmar, K., & Gisslén, L. (2020, October). Using deep convolutional neural networks to detect rendered glitches in video games. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (Vol. 16, No. 1, pp. 66-73).

[9]. Westera, W., Prada, R., Mascarenhas, S., Santos, P. A., Dias, J., Guimarães, M., & Ruseti, S. (2020). Artificial intelligence moving serious gaming: Presenting reusable game AI components. Education and Information Technologies, 25, 351-380.

[10]. Research Gate: available via license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International https://www.researchgate.net/figure/FAtiMA-Toolkit-Components_fig1_349787091

[11]. Monkey Learn: Sentiment Analysis: A Definitive Guide https://monkeylearn.com/sentiment-analysis/

[12]. Zhou fei, Li jiuyan (2020). Current status and prospects of artificial intelligence application in game development. China management informatization(23),183-185

Cite this article

Tian,X. (2024). AI applications in video games and future expectations. Applied and Computational Engineering,54,161-170.

Data availability

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

Disclaimer/Publisher's Note

The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of EWA Publishing and/or the editor(s). EWA Publishing and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

About volume

Volume title: Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Conference website: https://www.confspml.org/
ISBN:978-1-83558-353-1(Print) / 978-1-83558-354-8(Online)
Conference date: 15 January 2024
Editor:Marwan Omar
Series: Applied and Computational Engineering
Volume number: Vol.54
ISSN:2755-2721(Print) / 2755-273X(Online)

© 2024 by the author(s). Licensee EWA Publishing, Oxford, UK. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open access policy for details).