DOI:
10.1609/aiide.v7i1.12456
Abstract:
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.