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Game Brains: NPCs Intelligence Using Neural Network Br

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  • Mosaddiq Billah, Aanoora Seher, Ahmad Bahar, Muniba Ashfaq, Abdullah Hamid

    (Computer Systems Engineer (UET Peshawar))

Abstract

This paper aims to develop the foundational knowledge about the Unity game development engine embedded with AI for the development of a hyper-casual game that has intelligent NPCs, which operate strategically in the environment. The targeted audience comes in the class of those who are pursuing their career in the niche of AI game development and enhancing the gaming experience for single-player game users. Using Unity Engine and Python, Curriculum learning and self-learning experiments were conducted to test the AI game. Moreover, in this paper, different reinforcement learning methods have been discussed, which have been implemented in the game that produces the optimal results for the behavior of NPCs. Hence, this paper tends to represent a glimpse into the future perspective of the gaming industry in hyper-casual gaming platforms.

Suggested Citation

  • Mosaddiq Billah, Aanoora Seher, Ahmad Bahar, Muniba Ashfaq, Abdullah Hamid, 2024. "Game Brains: NPCs Intelligence Using Neural Network Br," International Journal of Innovations in Science & Technology, 50sea, vol. 6(5), pages 74-82, May.
    • Handle: RePEc:abq:ijist1:v:6:y:2024:i:5:p:74-82
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    File URL: https://journal.50sea.com/index.php/IJIST/article/view/779
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