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Intelligenza Artificiale
ARTIFICIAL INTELLIGENCE
Aldo Franco Dragoni

Seat Ingegneria
A.A. 2015/2016
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
None

Learning outcomes
The course aim is to provide a broad overview of a discipline that has seen a tremendous growth in recent years. Major emphasis will be given to the 'logistic' approach, ie the part that tends to replicate in machines logical-inference mechanisms of correct human thoughts.

Program
Introduction to Artificial Intelligence Problem solving with Search. Euristic Search. Constraint Satisfaction Problems Adversary Search and Games Knowledge Representation and Reasoning Uncertain Reasoning and Fuzzy Logic First Order Logic Logic Programming PROLOG AI applications in PROLOG

Development of the examination
LEARNING EVALUATION METHODS
The examination is held in two tests: a test of programming in PROLOG and a written exam with exercises of Artificial Intelligence to solve with the help of textbooks and class notes

LEARNING EVALUATION CRITERIA
The evaluation focuses on the practice: the student must demonstrate the ability to program in PROLOG and knowing how to use the ideas of artificial intelligence to solve concrete problems.

LEARNING MEASUREMENT CRITERIA
Both tests are evaluated thirty

FINAL MARK ALLOCATION CRITERIA
The final evaluation is the average of thirty between the two assessments reported.

Recommended reading
Russel, Norvig ”Intelligenza Artificiale-un approccio moderno” Pearson Sterling, Shapiro ”L'arte del Prolog” Hoepli

Courses

• Ingegneria Informatica e dell'Automazione (Corso di Laurea Magistrale (DM 270/04))