Artificial Intelligence and laboratory

Module Artificial Intelligence

Knowledge and understanding: Students will acquire basic knowledge about Intelligent Agents and their main features.
Applying knowledge and understanding: students will be to able to apply the acquired knowledge in several fields such as: searching for solutions to hard combinatorial problems, games and decision theory, automated deduction and reasoning.
Autonomia di giudizio (making judgements): Students will be able to evaluate the possibility of developing algorithms and intelligent systems to mechanize decisional processes in different application fields.
Communication skills: students will acquire the necessary communication skills and appropriate linguistic skills to explain and clarify problems relative to intelligent systems and their applications.
Capacità di apprendimento (learning skills): students will be able to adapt the acquire knowledge to new contexts as well and to understand the limits of applicability of artificial intelligence techniques

The course is divided into 2 main parts. First part on Problem Solving, and second part on Knowledge and Reasoning.

FIRST PART: Problem Solving

• Foundations and history of Artificial Intelligence
• Intelligent Agents and classifications
• Search and Problem Solving
• Search in games
• Constraint Satisfaction Problems
• Search using Natural Computing Algorithms

• SECOND PART: Knowledge, Reasoning and Learning

• Logical agents and puzzles
• First order logic and Inferences
• Uncertainty and Probability
• Decision making, Utility and value of information
• Learning from examples

Required textbook is Artificial Intelligence, a modern approach, 3^rd Edition, S. Russel, P. Norvig. Other material will be provided by the instructor in class.