Introduce the fundamental techniques of the various areas of Artificial Intelligence relative to Knowledge Representation and Automatic Reasoning, Machine Learning, Natural Language processing, Computer Vision.
teacher profile teaching materials
- 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.
Lecture notes by the professor.
Programme
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.
Core Documentation
S.J.Russel, P.Norvig "Artificial Intelligence: A Modern Approach", 3/Ed (2010). Pearson Education.Lecture notes by the professor.
Type of delivery of the course
Lectures and exercises on-line.Type of evaluation
During the COVID-19 emergency period, the profit examination will be carried out in accordance with the provisions of art.1 of the Rectoral Decree no. 703 of May 5, 2020. The verification of learning takes place through an oral test plus a project. The test is organized through a certain number of open-ended questions, aimed at verifying the level of understanding of concepts and methods presented in the course. The oral exam is crucial for the attribution of the final assessment.