12 - Learning

Question 1

Types of Learning

Answer 1

Unsupervised; Reinforcement; Supervised

Question 2

Learning

Answer 2

Improved Performance on future tasks by observing the environments

Question 3

Essential Elements of a Learning Agent

Answer 3

Problem Generator; Learning Element and Performance Element

Question 4

Unsupervised Learning

Answer 4

Agent learns patterns in the input without feedback (e.g. clustering)

Question 5

Reinforcement Learning

Answer 5

Agent learns from a series of rewards/punishments (e.g. chess engine)

Question 6

Supervised Learning

Answer 6

Agent observes patterns in the supplied input-output pairs (e.g. automated driving)

Question 7

Disadvantage of Supervised Learning

Answer 7

You can only as good as your data (Learning Saturation)

Question 8

How-To Manuals could be visually illustrated as ________.

Answer 8

DECISION TREES

Question 9

Ockhams razor aims to maximize ________.

Answer 9

CONSISTENCY AND SIMPLICITY

Question 10

Which heuristic finds simple decision trees?

Answer 10

Information-Gain Heuristic