Introduction to Artificial Intelligence / Einführung in die Künstliche Intelligenz (SS 2025)

General Information

• For a general course description please read the corresponding pages from the WIAI module guide.
• You find administrative information at UnivIS.
• To get up-to-date information you should sign up for the course in the virtual campus.
• Recommended for bachelor students in the 4th semester.
• This course updates and replaces the module “Intelligente Agenten”, i.e., you cannot register for this module if you have already taken “Intelligente Agenten”.

Recommended Reading / Links

Text books on AI, Logic and AI programming:

• Stuart Russel and Peter Norvig (2020). 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). Handbuch der Künstlichen Intelligenz, 6. Auflage. de Gruyter. (A survey of methods and subfields of AI by German AI researchers in German)
• Malik Ghallab, Dana Nau, Paolo Traveso (2016).  Automated Planning and Acting. Cambridge University Press. (AI subdomain planning)
• Stefan Edelkamp, Stefan Schroedl (2011). Heuristic Search. Theory and Applications. Morgan Kaufmann.
• Uwe Sch?ning (2000). Logik für Informatiker. Springer. (auch wenn nicht gendergerecht bezeichnet, eine sehr gute und verst?ndliche Einführung in die logischen Grundlagen), docplayer
• Harold Abelson and Gerald Jay Sussman (1996). Structure and Interpretation of Computer Programs, 2nd Edition. McGrawHill. (pogramming in Scheme).
• Leon Sterling and Ehud Shapiro (1994). The Art of Prolog, Second Edition. MIT Press.
• Peter Norvig (1991/updated continuosly). Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp. Morgan Kaufmann. [github paip-lisp]
• Gary Marcus and Ernest Davis (2019). Rebooting AI. Pantheon. (An insightful discussion about what AI can (not) do and  about the power of human intelligence.)
• Raymond Kurzweil (1992). 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  (This is not a scientific text book but a most motivating, comprehensive book for a broad readership, however a bit outdated.)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?
• The AI Singer Poem
• 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]t3://page?uid=164279#623401
12. Language Processing [pdf]
13. Cognitive AI / Situated and Embodied AI
14. Applications of AI / Ethical Aspects of AI / Open Questions of AI

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