CSCI-B 652 COMPUTER MODELS OF SYMBOLIC LEARNING (3 CR.)
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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|LEC||3||32485||Open||1:10 p.m.–2:25 p.m.||TR||ED 1230||Leake D