Extracting NPC behavior from computer games using computer vision and machine learning techniques

We present a first application of a general approach to learn the behavior of NPCs (and other entities) in a game from observing just the graphical output of the game during game play. This allows some understanding of what a human player might be able to learn during game play. The approach uses ob...

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Bibliographische Detailangaben

Hauptverfasser:	Fink, A., Denzinger, J., Aycock, J.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Agent Modeling Application software Computational intelligence Computer displays Computer Games Computer science Computer vision Humans Machine learning Mathematics Object recognition Object Tracking Physics
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