SAPIENZA Università di Roma

Master in Artificial Intelligence and Robotics (AIRO)

Reasoning Agents (3 CFU)

Prof. Fabio Patrizi
Prof. Giuseppe De Giacomo


General Information

One of the most important goals of Artificial Intelligence concerns the development of intelligent agents, such as robots, that are able to deliberate their course of actions. This course introduces several approaches to realize this goal, with a particular focus on advanced forms of automated behaviour synthesis, based on temporal logics and action theories, in both deterministic and non-deterministic settings. Students are encouraged to realize projects which integrate such high-level forms of reasoning, with state-of-the-art probabilistic robotics, computer vision, and machine learning tools.

Lectures

Course taught from April 13 to May 29, 2023.

Schedule:

Part of this course will be taught in conjunction with the PhD Course on Game-Theoretic Approach to Planning and Synthesis , by Prof. Giuseppe De Giacomo

Google Classroom

Teacher-student communication will take place on Google Classroom (registration code: w6l7tkg).

Student hour

Prof. Patrizi
Prof. De Giacomo

Tentative Program


News


Teaching Material

Slides

For Prof. De Giacomo's slides, please refer to the website of the PhD Course on Game-Theoretic Approach to Planning and Synthesis

Lecture Log

Week Monday 13.00-15.00 Thursday 13.00-17.00
10-16/04/2023 - De Giacomo
17-23/04/2023 De Giacomo De Giacomo
24-30/04/2023 No Lecture De Giacomo
01-07/05/2023 De Giacomo
08-14/05/2023 De Giacomo Student Presentations
15-21/05/2023 Student Presentations Student Presentations
22-28/05/2023
29-05/06/2023 Course ends. -

Exams

Exam format

The exam consists of two parts:

Exam dates

Please check Infostud and Classroom for details.