Introduction to Artificial Intelligence / Einführung in die Künstliche Intelligenz (SS 2024)

Artificial Intelligence: A Modern Approach, 4th edition. Prentice Hall/Pearson.(The mostly used text book in the field.)

A comparison of AI textbooks by Stuart Russel.

Günther G?rz, Ute Schmid, Tanya Braun (2020). http://www-mitpress.mit.edu/catalog/item/default.asp?sid=14477486-22C8-4EEC-89FA-30BFAFDC565E&ttype=2&tid=3308 The Age of Intelligent Machines. MIT Press.
(This is not a scientific text book but a most motivating, comprehensive book for a broad readership, however a bit outdated.)

Some Links:

• Homepages of AAAI
• Homepage of GI Fachbereich 1 - Künstliche Intelligenz
• How many AI people does it take to change a lightbulb?
• PDDL
• ICAPS with Planning Competition
• Tools for Learning AI: AISpace
• SWI Prolog
• Racket  (Lisp)

Lecture Topics

1. Introduction to Artificial Intelligence [pdf]
2. Problem Spaces and Search [pdf]
3. Heuristic Search, Branch and Bound, A* [pdf]
4. Search in Game Trees, Monte-Carlo Tree Search [pdf]
5. Knowledge Representation Classics -- semantic networks, frames, CSPs [pdf]
6. Classical Logics: Propositional Logic and First Order Logic [pdf]
7. Resolution Calculus and Prolog [pdf]
8. Non-Classical Logics: default, tms, Bayes, probabilistic, modal, epistemic, temporal [pdf]
9. Planning [pdf]
10. Machine Learning [pdf]
11. Object and Scene Recognition [pdf]
12. Language Processing [pdf]
13. Cognitive AI / Situated and Embodied AI
14. Applications of AI / Ethical Aspects of AI / Open Questions of AI

 

Archiv:

[SS 2023] [SS 2022] [SS 2021] [SS 2020] [SS 2019]