References
[1]. Westera, W., Prada, R., Mascarenhas, S., Santos, P.A., Dias, J., Guimarães, M. and Georgiadis, K. 'Artificial intelligence moving serious gaming: Presenting reusable game AI components', 2020 Edu. Infor. Tech., 25(1), 351+.
[2]. Risi, S., & Preuss, M. From chess and atari to starcraft and beyond: How game ai is driving the world of ai. 2020 KI-Künst. Intell., 34, 7-17.
[3]. Silver, David, et al. Mastering the game of Go with deep neural networks and tree search. 2016 Nature 529.7587: 484-489.
[4]. Lu, Yunlong, and Wenxin Li. Techniques and Paradigms in Modern Game AI Systems. 2022 Algorithms 15.8: 282.
[5]. Tesauro, Gerald. Temporal difference learning and TD-Gammon. 1995 Commun. ACM 38.3: 58-68.
[6]. Campbell, Murray, A. Joseph Hoane Jr, and Feng-hsiung Hsu. Deep blue. 2002 Artif. Intell. 134.1-2: 57-83.
[7]. Mnih, Volodymyr, et al. Playing atari with deep reinforcement learning. 2013 arXiv preprint arXiv:1312.5602.
[8]. Berner, Christopher, et al. Dota 2 with large scale deep reinforcement learning. 2019 arXiv preprint arXiv:1912.06680.
[9]. Oh, Inseok, et al. Creating pro-level AI for a real-time fighting game using deep reinforcement learning. 2021 IEEE Trans. Games 14.2: 212-220.
[10]. Ye, Deheng, et al. Towards playing full moba games with deep reinforcement learning. 2020 Adv. Neur. Infor. Proce. Sys. 33: 621-632.
[11]. Gunawan, Leonardo Jose, et al. Analyzing AI and the Impact in Video Games. 2022 4th Inter.Conf. Cyber. Intell. Sys.,1-9.
[12]. Torrado, Ruben Rodriguez, et al. Deep reinforcement learning for general video game ai. 2018 IEEE Conf. Comput. Intell. Games, 1-11.
[13]. Barriga, Nicolas A. A short introduction to procedural content generation algorithms for videogames. 2019 Intern. J. Artif. Intell. Tools 28.02: 1930001.
[14]. Zhang, Yuzhong, Guixuan Zhang, and Xinyuan Huang. A Survey of Procedural Content Generation for Games. 2022 Inter. Conf. Cul.Orient. Sci. Tech., 1-10.
[15]. Liu, Jialin, et al. Deep learning for procedural content generation. 2021 Neu.l Comput. Appl. 33.1: 19-37.
Cite this article
Shen,B. (2023). How AI evolved with game and implementation of modern AI in game. Applied and Computational Engineering,15,167-173.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Westera, W., Prada, R., Mascarenhas, S., Santos, P.A., Dias, J., Guimarães, M. and Georgiadis, K. 'Artificial intelligence moving serious gaming: Presenting reusable game AI components', 2020 Edu. Infor. Tech., 25(1), 351+.
[2]. Risi, S., & Preuss, M. From chess and atari to starcraft and beyond: How game ai is driving the world of ai. 2020 KI-Künst. Intell., 34, 7-17.
[3]. Silver, David, et al. Mastering the game of Go with deep neural networks and tree search. 2016 Nature 529.7587: 484-489.
[4]. Lu, Yunlong, and Wenxin Li. Techniques and Paradigms in Modern Game AI Systems. 2022 Algorithms 15.8: 282.
[5]. Tesauro, Gerald. Temporal difference learning and TD-Gammon. 1995 Commun. ACM 38.3: 58-68.
[6]. Campbell, Murray, A. Joseph Hoane Jr, and Feng-hsiung Hsu. Deep blue. 2002 Artif. Intell. 134.1-2: 57-83.
[7]. Mnih, Volodymyr, et al. Playing atari with deep reinforcement learning. 2013 arXiv preprint arXiv:1312.5602.
[8]. Berner, Christopher, et al. Dota 2 with large scale deep reinforcement learning. 2019 arXiv preprint arXiv:1912.06680.
[9]. Oh, Inseok, et al. Creating pro-level AI for a real-time fighting game using deep reinforcement learning. 2021 IEEE Trans. Games 14.2: 212-220.
[10]. Ye, Deheng, et al. Towards playing full moba games with deep reinforcement learning. 2020 Adv. Neur. Infor. Proce. Sys. 33: 621-632.
[11]. Gunawan, Leonardo Jose, et al. Analyzing AI and the Impact in Video Games. 2022 4th Inter.Conf. Cyber. Intell. Sys.,1-9.
[12]. Torrado, Ruben Rodriguez, et al. Deep reinforcement learning for general video game ai. 2018 IEEE Conf. Comput. Intell. Games, 1-11.
[13]. Barriga, Nicolas A. A short introduction to procedural content generation algorithms for videogames. 2019 Intern. J. Artif. Intell. Tools 28.02: 1930001.
[14]. Zhang, Yuzhong, Guixuan Zhang, and Xinyuan Huang. A Survey of Procedural Content Generation for Games. 2022 Inter. Conf. Cul.Orient. Sci. Tech., 1-10.
[15]. Liu, Jialin, et al. Deep learning for procedural content generation. 2021 Neu.l Comput. Appl. 33.1: 19-37.