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CSCI-B 652: COMPUTER MODELS OF SYMBOLIC LEARNING (3 credits)

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Symbolic artificial intelligence methods for learning. Inductive and explanation-based generalization. Failure-driven learning. Case-based learning. Typical content includes: operationality of explanations and utility of learning. Goal-driven learning. Criteria for when, what, and how to learn. Learning in integrated architectures.

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