A Model for Reliable Adaptive Game Intelligence
نویسنده
چکیده
Adaptive game AI aims at enhancing computercontrolled game-playing agents with the ability to self-correct mistakes, and with creativity in responding to new situations. Before game publishers will allow the use of adaptive game AI in their games, they must be convinced of its reliability. In this paper we introduce a model for Reliable Adaptive Game Intelligence (RAGI). The purpose of the model is to provide a conceptual framework for the implementation of reliable adaptive game AI. We discuss requirements for reliable adaptive game AI, the RAGI model’s characteristics, and possible implementations of the model.
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