Università Roma Tre

1. Introduction:

- Intelligent Agents.
- AI as representation and search.

2. Solving problems by Searching:

-Blind search (Breadth-first search, Uniform cost search, Depth-first search, Iterative deepening search).
- Heuristic search (Best First, A*, IDA*, Heuristic Functions).
- Approximate Algoritms (Hill Climbing, Simulated Annealing, etc.)
- Two-Person games (MiniMax, Alfa-Beta Pruning).

3. Knowledge Representation and Automated reasoning:

- Frames, Semantic Networks, Production Systems.
- Case-Based Reasoning.
- Knowledge Based Systems.

4. Machine Learning:

- Symbol-Based (Inductive Learning, Decision trees).
- Connectionist (Artificial Neural Networks).

5. Communicating, Perceiving and Acting:

- Natural language Processing and Information retrieval.
- Computer Vision.

S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 3/Ed (2010). Pearson Education.

Lecture notes by the professor.