Two Multi-Unit Artificial Intelligence Decision Modes in Video Games：A Comparison

Qisen Lin

doi:10.47297/taposatWSP2633-456909.20230402

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Two Multi-Unit Artificial Intelligence Decision Modes in Video Games：A Comparison

Volume 4, Issue 2

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Two Multi-Unit Artificial Intelligence Decision Modes in Video Games：A Comparison
School of Information Engineering, Wuhan University of Technology,Hubei,Wuhan,P. R. China,430070
Vol. 4, Issue 2, Pages: 60-67(2023)
Published： 2023 ，
DOI：10.47297/taposatWSP2633-456909.20230402

Full txt

Qisen Lin. (2023). Two Multi-Unit Artificial Intelligence Decision Modes in Video Games：A Comparison. Theory and Practice of Science and Technology, 4(2), 60-67.
DOI：

Qisen Lin. (2023). Two Multi-Unit Artificial Intelligence Decision Modes in Video Games：A Comparison. Theory and Practice of Science and Technology, 4(2), 60-67. DOI： 10.47297/taposatWSP2633-456909.20230402.

摘要

Abstract

Using AI to manipulate game characters is already common and has been applied to various types of games. However

many current studies focus on AI operating a single role. In future online games

there will be a great demand to operate multiple units simultaneously for collaborative movement

and similar needs have already appeared in current MMORPG. In popular battle games nowadays

there is often a game mode where multiple players belonging to multiple factions engage in battles with each other. If AI needs to be deployed

multiple units need to be operated simultaneously to engage in combat. In response to this issue

two network architectures were proposed and trained and tested in a multiplayer game simulation environment. By comparing the training effects

one of the network structures known as “octopus- shape” is considered to be more effective and valuable for development. This result will contribute to the development of multi unit collaborative artificial intelligence in the future

helping to establish true AI games and real-world automated management systems.

关键词

Keywords

Artificial intelligenceReinforcementOnline gameNeural networkCooperative system

references

Q. Fu, C. Fan, Y. Song and X. Guo. (2020) .Alpha C2–An Intelligent Air Defense Commander Independent of Human Decision-Making. IEEE Access, vol. 8, pp. 87504-87516.[2] Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., Riedmiller, M.A. (2013). Playing Atari with Deep Reinforcement Learning. ArXiv, abs/1312.5602.[3] I. Kodaka and F. Saitoh. (2021). A Study on Application of Curriculum Learning in Deep Reinforcement Learning: Action Acquisition in Shooting Game AI as Example. In: 2021 IEEE 12th International Workshop on Computational Intelligence and Applications (IWCIA), Hiroshima, Japan, pp. 1-6.[4] S. Yoon and K. Kim. (2017) .Deep Q Networks for Visual Fighting Game AI. In: 2017 IEEE Conference on Computational Intelligence and Games (CIG), New York, USA, pp. 306-08.[5] Gandolfi, E., Ferdig, R. E., & Soyturk, I. (2023). Exploring the Learning Potential of Online Gaming Communities: An Application of the Game Communities of Inquiry Scale. New Media & Society, 25(6), 1374-93. [6] Y. Chao, J. Liu, S. Nemati, and G. Yin. (2021). Reinforcement Learning in Healthcare: A Survey. ACM Comput. Surv., 55(1): Article 5.[7] Clifton, J. Laber, E. (2020). Q-Learning: Theory and Applications. Annual Review of Statistics and Its Application, 7(1): 279-301.[8] Z. Li, F. Liu, W. Yang, S. Peng and J. Zhou. (2022) .A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. IEEE Transactions on Neural Networks and Learning Systems, 33(12): 6999-7019.

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