404-1 | Artificial Intelligence (option 1) | Computer Science | S7 | ||||||
---|---|---|---|---|---|---|---|---|---|
Lessons : 8 h | TD : 6 h | TP : 12 h | Project : 0 h | Total : 26 h | |||||
Co-ordinator : Regis Clouard |
Prerequisite | |
---|---|
|
|
Course Objectives | |
Artificial intelligence (AI) is the branch of computer science concerned with making machines capable of imitating and performing human cognitive behavior. The goal of this course is to familiarize you with the foundational principles of artificial intelligence. You will learn some basic AI techniques, the problems for which they are applicable, and their limitations. | |
Syllabus | |
|
|
Practical work (TD or TP) | |
|
|
Acquired skills | |
At the end of this course, students should have a good understanding of the questions and methods used in artificial intelligence, and should also be able to use this knowledge to implement some of these methods. |
|
Bibliography | |
P. Marquis, O. Papini, H. Prade, “Panorama de l'intelligence artificielle: ses bases méthodologiques, ses développements”, Cépaduès éditions, 2014 (3 volumes). Stuart J. Russell, Peter Norvig, “Artificial intelligence: a modern approach”, Prentice Hall, 2010. Jean-Marc Alliot, Thomas Schiex, Pascal Brisset, Frédérik Garcia, “Intelligence artificielle et informatique théorique”, Cépaduès eds, 2002. Chris Nikolopoulos, “Expert Systems”, Marcel Dekker Inc., 1997. Jacques Ferber, “Les systèmes multi-agents”, InterEditions, 1995. Peter H. Winston, “Artificial Intelligence”, Addison-Wesley, 1992. Jean-Paul Haton et al., “Le raisonnement en Intelligence Artificielle”, InterEditions, 1991. Jean-Louis Laurière, “Intelligence artificielle : Résolution de problèmes par l'homme et la machine”, Eyrolles, 1987. |
© 2024 - ENSICAEN ( Legal Notices - Credits )