Building Human-Level AI for Real-Time Strategy Games on Unity
Rancang Bangun AI-Based Bot pada Real-Time Strategy Games menggunakan Unity
DOI:
https://doi.org/10.21070/ups.11998Keywords:
Enemy AI, Real-Time Strategy Game, Game Development, UnityAbstract
This paper describes the implementation and evaluation of the Enemy AI system in a Real-Time Strategy game. The purpose of this study is to measure the functionality of the Enemy AI feature and decision making system including Goals Management, Resource Management, Military Management, Quick-Response Action, Units and Buildings Behavior. Testing was conducted using empirical logging and comparative quantitive metrics to prove autonomous profile switching (Aggressive, Defensive, Balanced). The results validated by real-time event logs and progressive graphic visualization according to the parameter. This study implements Enemy AI feature of Real-Time Strategy game.
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G. Robertson and I. Watson, “A Review of Real‐Time Strategy Game AI,” AI Mag., vol. 35, no. 4, pp. 75–104, Dec. 2014, doi: 10.1609/aimag.v35i4.2478.
I. A. Kautsar, M. R. Maika, A. N. Budiman, A. B. Setyawan, and J. Y. Awali, “Microservice Based Architecture: The Development of Rapid Prototyping Supportive Tools for Project Based Learning,” in 2023 IEEE World Engineering Education Conference (EDUNINE), Mar. 2023, pp. 1–6. doi: 10.1109/EDUNINE57531.2023.10102884.
I. A. Kautsar and M. R. Maika, “Platform Design Canvas Adaptation for Rapid Prototyping and Project-based Learning amid Covid-19 Pandemic,” in 2022 IEEE World Engineering Education Conference (EDUNINE), Mar. 2022, pp. 1–6. doi: 10.1109/EDUNINE53672.2022.9782390.
I. A. Kautsar, M. H. Hamdi, R. S. H. F. Aziz, and M. R. Maika, “User-centered Approach and Low-Code Framework for Prototyping and Income-based Education,” in 2023 7th International Conference on New Media Studies (CONMEDIA), Dec. 2023, pp. 1–6. doi: 10.1109/CONMEDIA60526.2023.10428254.
I. A. Kautsar and M. Ruslianor Maika, “The use of User-centered Design Canvas for Rapid Prototyping,” J. Phys. Conf. Ser., vol. 1764, no. 1, p. 012175, Feb. 2021, doi: 10.1088/1742-6596/1764/1/012175.
S. Ontanon, G. Synnaeve, A. Uriarte, F. Richoux, D. Churchill, and M. Preuss, “RTS AI: Problems and Techniques”.
F. Safadi, R. Fonteneau, and D. Ernst, “Artificial intelligence design for real-time strategy games,” presented at the NIPS Workshop on Decision Making with Multiple Imperfect Decision Makers, Dec. 2011. Accessed: Jul. 22, 2026. [Online]. Available: https://orbi.uliege.be/handle/2268/103512
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