Cameron Buckner is an Assistant Professor in the Department of Philosophy at the University of Houston. He began his career in computer science--specifically, in non-monotonic logic-based approaches to artificial intelligence. This research inspired an interest into the relationship between the simple models of reasoning developed in classical AI and the (usually very different) ways that humans and animals actually solve problems, which led him to philosophy and cognitive science. Pursuing these questions, he received a PhD in Philosophy at Indiana University from 2004-2011 and an Alexander von Humboldt Postdoctoral Fellowship at Ruhr-University, Bochum from 2011-2013.
His research interests lie at the intersection of philosophy of mind, philosophy of science, animal cognition, comparative psychology, and artificial intelligence. He is particularly interested in bottom-up and developmentally grounded approaches to intelligence, and in understanding how to conduct rigorous and fair comparisons between different kinds of intelligent agents. Representative recent publications include an empirical collaboration with colleagues at the University of Vienna on theory of mind in ravens ("Ravens Attribute Visual Access to Unseen Competitors") and "Rational Inference: the Lowest Bounds", which won the American Philosophical Association's Article Prize for 2016-2018. He is currently writing a book about comparisons between the operations of state-of-the-art deep neural networks and animal minds. For more information, see http://cameronbuckner.netBack to people