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Current Lectures

Pages for lectures up to winter semester 2003/2004 are only available via our old teaching page, which may contain broken links. Please allow us some time while the pages are being revised.

Grundlagen der Künstlichen Intelligenz

Die Vorlesung vermittelt eine Einführung in die grundlegenden Sichtweisen, Probleme, Methoden und Techniken der Künstlichen Intelligenz. Es werden u.a. folgende Themen behandelt:

  • Einführung und historische Entwicklung der KI
  • Der Agentenbegriff in der KI
  • Problemlösen und Suche
  • Logik und Repräsentation
  • Handlungsplanung
  • Darstellung und Verarbeitung unsicheren Wissens
  • Maschinelles Lernen
Course type: Lecture
Lecturers: Prof. Dr. Wolfram Burgard, Prof. Dr. Bernhard Nebel and Dr. Frank Hutter
Web page: Grundlagen der Künstlichen Intelligenz

Game Theory

Game Theory is concerned with rational decision making to further one's own goals, and in particular with interactions and conflicts between goals of different players. Game theory studies how knowledge about other players' objectives influences one's own decisions and behavior.

Course type: Lecture
Lecturers: Prof. Dr. Bernhard Nebel and Dr. Robert Mattmüller
Web page: Game Theory

Dynamic Epistemic Logic

This course gives a detailed introduction to Dynamic Epistemic Logics and to epistemic planning.

Course type: Lecture
Lecturers: Prof. Dr. Bernhard Nebel, Dr. Robert Mattmüller and Thorsten Engesser
Web page: Dynamic Epistemic Logic

Social Robotics

Course type: Lecture
Lecturers: Prof. Dr. Bernhard Nebel and Dr. Felix Lindner
Web page: Social Robotics

Seminar: Ethics of AI

Course type: Seminar
Organizers: Prof. Dr. Bernhard Nebel, Dr. Felix Lindner and apl. Prof. Dr. Marco Ragni
Web page: Seminar: Ethics of AI

Robotics Lab Course: Social Robotics

This course gives hands-on experience in the design and implementation of social robots.

Course type: Lecture
Lecturers: Prof. Dr. Bernhard Nebel and Dr. Felix Lindner
Web page: Robotics Lab Course: Social Robotics