Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/4655
Title: Non-player character decision-making in computer games
Authors: Uludağlı, Muhtar Çağkan
Oğuz, Kaya
Keywords: Video game
Non-player character (NPC)
Artificial intelligence (AI)
Decision-making
Survey
Literature review
Behavior Trees
Simulation
Systems
Ai
Publisher: Springer
Abstract: One of the most overlooked challenges in artificial intelligence (AI) for computer games is to create non-player game characters (NPCs) with human-like behavior. Modern NPCs determine their actions in different situations using certain decision-making methods, enabling them to change the current state of the game world. In this paper, we survey current decision-making methods used by NPCs in games, identifying five categories. We give detailed overview of these five categories and determine the previous studies that belong to each of these categories. We also discuss the hybrid methods which are the combinations of different decision-making methods and the frameworks that are created for NPC decision-making. As a result of this analysis, we create a taxonomy table based on these covered studies. Lastly, the challenges faced in our study and future possibilities for improvement are described.
Description: Article; Early Access
URI: https://doi.org/10.1007/s10462-023-10491-7
https://hdl.handle.net/20.500.14365/4655
ISSN: 0269-2821
1573-7462
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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