Perception and Learning in Artificial Animals
نویسندگان
چکیده
We employ a virtual marine world inhabited by realistic artificial animals as an ALife laboratory for developing and evaluating zoomimetic perception and learning algorithms. In particular, we propose active perception strategies that enable artificial marine animals to navigate purposefully through their world by using computer vision algorithms to analyze the foveated retinal image streams acquired by their eyes. We also demonstrate learning algorithms that enable artificial marine animals to acquire complex motor skills similar to those displayed by trained marine mammals at aquatic theme parks.
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