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 )
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.
Oct-9-2011
- Country:
- North America > Canada > Alberta (0.28)
- Genre:
- Research Report
- Experimental Study (0.68)
- New Finding (0.68)
- Research Report
- Industry:
- Leisure & Entertainment > Games > Computer Games (1.00)
- Technology: