10_Incremental_Concept_Learning

Question 1

What are the heuristics for specializing and generalizing in Incremental Concept Learning?

Answer 1

1. Require-link: link must be present to be a positive example of the concept
2. Forbid-link: link must be absent to be a positive example of the concept
3. Drop-link: link is not necessary to be a positive example of the concept
4. Enlarge-set: multiple objects or links may fit one role in the concept
5. Climb-tree: generalize over multiple objects in the same role based on knowledge
6. Close-interval: expand range of values to be a positive example of the concept