OVERVIEW

The course introduces to the main themes of deductive-based Artificial Intelligence also with a focus on practical applications.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

PREREQUISITES

Some preliminary knowledge of combinatorics, algebra and theoretical computer science are useful for a better understanding of the course material.

TEACHERS AND EXAM BOARD

Exam Board

ARMANDO TACCHELLA (President)

ANTONY THOMAS (President)

EXAMS

EXAM DESCRIPTION

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

ASSESSMENT METHODS

The class is divided into two modules, with specific assessment methods for each module’s learning outcomes detailed within the corresponding module descriptions.