INFO8006 Introduction to Artificial Intelligence

Lectures for INFO8006 Introduction to Artificial Intelligence, ULiège, Fall 2024.

• Instructor: Gilles Louppe
• Teaching assistants: Gérôme Andry, Arnaud Delaunoy
• When: Fall 2024, Thursday 8:30 AM to 12:30 AM
• Classroom: B31/Laurent (4/89)
• Contact: info8006@montefiore.ulg.ac.be
• Discord: https://discord.gg/Y8UP2SBu2h

Agenda

| Date | Topic | | ---- | ----- | | September 19 | Course syllabus [PDF] Lecture 0: Introduction to artificial intelligence [PDF] Lecture 1: Intelligent agents [PDF] | | September 26 | Lecture 2: Solving problems by searching [PDF] Tutorial: Project 0 | | October 3 | Lecture 3: Games and adversarial search [PDF] Exercises 1: Solving problems by searching [PDF] [Solutions] | | October 10 | Lecture 4: Quantifying uncertainty [PDF] Exercises 2: Games and adversarial search [PDF] [Solutions]| | October 17 | Lecture 5: Probabilistic reasoning [PDF] Exercises 3: Quantifying uncertainty [PDF] [Solutions]| | October 24 | Lecture 6: Reasoning over time [PDF] No exercises| | October 31 | No class | | November 3 | Deadline for Project 1 | | November 7 | Lecture 7: Machine learning and neural networks [PDF] Exercises 4: Probabilistic reasoning [PDF] [Solutions]| | November 14 | Lecture 7: Machine learning and neural networks (continued) [PDF]
Exercises 5: Reasoning over time [PDF] [Solutions]| | November 21 |Lecture 8: Making decisions [PDF]
Exercises 6: Reasoning over time (continued) [notebook] | | November 28 | Lecture 9: Reinforcement Learning [PDF] Exercises 7: Machine learning [PDF] [Solutions]| | December 5 | No lecture Exercises 8: Making decisions & RL [PDF] [Solutions]| | December 8 | Deadline for Project 2 | | December 12 | No class | | December 19 | No class |

Pacman programming projects

• General instructions
• Python tutorial [video (Linux), video (Windows)]
• Part 0: Search algorithms (tutorial session in class)
• Part 1: Adversarial search (due by November 3)
• Part 2: Bayes filter (due by December 8)

Previous exams

• January 2019 (solutions)
• August 2019
• January 2020
• August 2020 (solutions)
• January 2021 (solutions)
• August 2021
• January 2022 (solutions)
• August 2022
• January 2023 (solutions)
• August 2023
• January 2024
• August 2024

Materials covered by the exam are listed here.

Archives

Previous editions

• 2023-2024
• 2022-2023
• 2021-2022
• 2020-2021
• 2019-2020
• 2018-2019
• 2017-2018

Archived lectures

Due to progress in the field, some of the lectures have become less relevant. However, they are still available for those who are interested.

| Topic | | --- | | Lecture: Constraint satisfaction problems [PDF] | | Lecture: Inference in Bayesian networks [PDF] | | Lecture: Communication [PDF] | | Lecture: Artificial general intelligence and beyond [PDF] |