Learning objectives

The course aims to provide the basic concepts and the most relevant techniques for artificial intelligence, considering the central paradigm of intelligent agents. Specifically, the course provides the capabilities to design, apply, and evaluate algorithms for difficult problems meaning that their mechanical solution captures aspects of artificial intelligence. At the end of the course, the students will have to: Demonstrate knowledge and understanding of the main techniques for solving problem by searching in the state-space, the main methods for planning and automated reasoning, the fundamental concepts related to reasoning under uncertainty, and the basic concepts related to machine learning; Know how to apply the knowledge acquired in order to use appropriate Artificial Intelligence resolution techniques for a variety of problems Be able to choose the most appropriate Artificial Intelligence solution techniques based on the specific features of the problem they are addressing ; Know how to argue in a technical and precise way the main issues related to the use of artificial intelligence techniques for a wide range of problems; Be able to continue the studies independently in the field of Artificial Intelligence.