A Generative Computational Model for Human Hide and Seek Behavior

Cenkner, Andrew (University of Alberta) | Bulitko, Vadim ( University of Alberta ) | Spetch, Marcia ( University of Alberta )

AAAI Conferences 

Hiding and seeking is a cognitive ability frequently demonstrated by humans in both real life and video games. We use machine learning to automatically construct the first computational model of hide/seek behavior in adult humans in a video game like setting. The model is then run generatively in a novel environment and its behavior is found indistinguishable from actual human behavior by a panel of human judges.  In doing so the artificial intelligence agent using the model appears to have passed a version of the Turing test for hiding and seeking.

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