[Knowledge-based AI] {ud409} Lesson 10: 10 - Incremental Concept Learning

Exercise: Identifying a Foo

This example is adapted from the 'arch' example in the the following book:

Winston, P. (1993). Artificial Intelligence (3rd ed.). Addision-Wesley.

In saying 'Yes', you're suggesting a more general model of foo: the object is a foo if it has any shape on top of its supports.

A more specialized model would say that the shape on top must be a brick, which would mean that this is not a foo. We haven't seen enough examples to know which model is correct, though, so we're having trouble settling in to a level of specialization or generalization. That will be the main topic of this lesson: how to use new examples to help specialize and generalize an agent's model of a concept.

Incremental Concept Learning

This algorithm is adapted from the following book:

Winston, P. (1993). Artificial Intelligence (3rd ed.). Addision-Wesley.

eg, Child A has a black cat, then A goes to a friend's house and see an orange cat (is told that the orange cat is a cat) => doesnt fit into the current definition of cat => generalize the concept of "cat"

eg. Child B has a dog => furry animal => goes to firend's house and see a cat. B is told the cat is not a dog => specilize the concept of "dog"

Variabilization