Artificial Intelligence (Intelligenza Artificiale)

A.A. 2022/2023, Fall semester

6 credits, SSD ING-INF/05, Master Artificial Intelligence and Robotics
(Laurea Magistrale in Intelligenza Artificiale e Robotica)

Prof. Santiago Franco Aixela

Starting from the academic year 2021/2022 the Artificial Intelligence course (6 ECTS) is replacing the courses Artificial Intelligence (9 and 12 ECTS) for students of the Master in Artificial Intelligence and Robotics.
For students enrolled in earlier academic years, the course Artificial Intelligence (9 ECTS) corresponds to the new course Artificial Intelligence (6 ECTS) plus the section on MAS and SHRI (check the course website http://www.diag.uniroma1.it/nardi/Didattica/AI/index-2021.html). All students from other degrees (including those enrolled in previous academic years) with an AI course in their study plan should refer to the 2022-23 course.

The course management is done through Artificial Intelligence
The access code will be communicated in the first class. Access will be available also for students that have not completed the enrollment, but are already registered in INFOSTUD.

CLASSES (starting Monday Thursday, September 29th, 2022)

Schedule

Monday 11:00 -- 13:00, Classroom 11, San Pietro in Vincoli, Via Eudossiana
Monday 13:00 -- 15:00 Classroom 11, San Pietro in Vincoli, Via Eudossiana
Thursday 17:00 -- 19:00 Classroom 7, San Pietro in Vincoli, Via Eudossiana
IMPORTANT: to improve communication related to this course, address email to my departmental address (NOT through the moodle system) using the following prefix [AI] in the subject. Email messages will be typically answered on tuesday at office hours.

Exam dates

Book through Infostud (please email the teacher in case there is no registration open). The exam dates are planned as follows:

January, 2023
February, 2023
March-April 2023 (for old students enrolled in 2019 or earlier)
June, 2023
July, 2023
September 2023
November 2023 (for old students enrolled in 2019 or earlier)

Plan of the Lectures

References

[RN] S. Russell, P. Norvig, Artificial Intelligence: A Modern Approach, Fourth Edition, Pearson, 2020.

[SS] L. Sterling, E. Shapiro, The Art of Prolog, 2nd Ed., MIT Press, 1994.

[GNT] Malik Ghallab, Dana Nau, Paolo Traverso, Automated Planning, Morgan Kaufmann Publisher, 2004.

[BL] R. J. Brachman, H.J. Levesque, Knowledge Representation and Reasoning, Morgan Kaufmann, 2004.

[DL] F. Baader, D. Calvanese, B. McGuinness, D. Nardi, P. Patel Scheider (Eds.), The Description Logic Handbook, Cambridge Univ. Press, 2007. (chap. 1, chap. 2, chap. 14).

[GL88] Michael Gelfond and Vladimir Lifschitz The Stable Model Semantics for Logic Programming, in Kowalski, Robert and Bowen, Kenneth, editors, Proceedings of International Logic Programming Conference and Symposium, 1070-1080, 1988. MIT Press.

[W] M. Wooldridge, Multi-Agent Systems, John Wiley, 2009.

[We] G. Weiss, Multiagent Systems, MIT Press, 2013, 2nd edition. Chapter 12: Distributed Constraint Handling and Optimization, A. Farinelli, M. Vinyals, A. Rogers, and N.R. Jennings.

[JM] Daniel Jurafsky and James H. Martin. Speech and Language Processing. In press, 2019 Selected Chapters.