Concept Learning

• Much of learning involves acquiring general concepts from specific training examples.
• Each concept can be viewed as describing some subset of the objects or events defined over a larger set.
• Alternatively each concept can be thought of as a boolean-valued function defined over this larger set.
• Concept Learning - inferring a boolean-valued function from training examples of its input and output