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Lectures in summer semester 2019

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, Dr. Frank Hutter, Dr. Joschka Boedecker and Dr. Michael Tangermann
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 Dr. Thorsten Engesser
Web page: Dynamic Epistemic Logic

Social Robotics

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

Seminar: Ethics of AI

Course type: Seminar
Organizers: Prof. Dr. Bernhard Nebel, Prof. Dr. Felix Lindner (Juniorprof.) and 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 Prof. Dr. Felix Lindner (Juniorprof.)
Web page: Robotics Lab Course: Social Robotics