Towards Online Adaptation in Action Games: Case Storage and Retrieval
نویسنده
چکیده
In this paper we present our work towards the development of an online learning and adaptation architecture for non-player characters (NPCs) (agents) in first person shooter (FPS) computer games. We will outline the development of our case storage and retrieval method, which uses an adaptive k-d tree based approach and discuss the issues related to employing this technique for online storage and retrieval of cases. We conclude by evaluating the performance of the developed data structures and discussing results.
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