Course Structure

CONTENT

1

Introduction & Intelligent Agents

2

Problem Solving as Search

Problem Spaces

Uninformed Search:

  •  Breadth-first 

  •  Depth-first 

  •  Iterative Deepening  

Informed (Heuristic) Search:

  •  Best-first 

  •  A* Search 

3

Game Playing :

  •  Minmax 

  •  Alpha-beta Pruning 

4

Constraint Satisfaction

5

Knowledge Representation:

  •  Propositional Logic 

  •  First-Order Logic 

Logical Reasoning:

  •  Deductive Inference 

  •  Unification 

  •  Resolution 

6

Planning

7

Reasoning under Uncertainty:

  •  Bayesian Networks 

  •  Markov Decision Processes 

8

Machine Learning:

  •  Concept Learning 

  •  Decision Trees 

9

Statistical Learning :

  •  Naive Bayes 

  •  Density Estimation 

  •  Expectation Maximization 

10

Reinforcement Learning