Course Description
An introduction to computational theories of human cognition. Emphasizes questions of inductive learning and inference, and the representation of knowledge. Project required for graduate credit. This class is suitable for intermediate to advanced undergraduates or graduate students specializing in cognitive science, …
An introduction to computational theories of human cognition. Emphasizes questions of inductive learning and inference, and the representation of knowledge. Project required for graduate credit. This class is suitable for intermediate to advanced undergraduates or graduate students specializing in cognitive science, artificial intelligence, and related fields.
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People’s intuitive domain theories generate hypothesis spaces for concepts that could explain the features of objects that they observe. These hypothesis spaces can then be used to dramatically speed up learning, enabling people to generalize new features from very few examples. (Image by Prof. Joshua Tenenbaum.)
