Computer Science | Computer Models of Symbolic Learning
B652 | 25351 | David Leake

(3 cr.) P: B552. 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. B652 corresponds to old C665.