The course introduces to the main themes of deductive-based Artificial Intelligence also with a focus on practical applications.
The goal of the course is to provide the foundations of knowledge-based intelligent autonomous agents and put them into practice using both off-the-shelf and student-made tools.
Some preliminary knowledge of combinatorics, algebra and theoretical computer science are useful for a better understanding of the course material.
Ricevimento: Please make an appointment with the teacher via email
MATTEO CARDELLINI (President)
ALESSANDRO CARFI'
ENRICO GIUNCHIGLIA (President Substitute)
ARMANDO TACCHELLA (President Substitute)
The class consists of two modules, and the final exam mark is the average of the intermediate tests from both modules. Please refer to each module for a detailed description of its respective intermediate test
The class is divided into two modules, with specific assessment methods for each module’s learning outcomes detailed within the corresponding module descriptions.
