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Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
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Logo: Institut für Verteilte Systeme - Fachgebiet Wissensbasierte Systeme (KBS)
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Artificial Intelligence (former Künstliche Intelligenz) - SS 2019

Overview

"Intelligence: The ability to learn and solve problems" [Webster's dictionary] 

"Artificial Intelligence is the intelligence exhibited by machines or software" [Wikipedia] 

"The science and engineering of making intelligent machines" [McCarthy]

"The study and design of intelligent agents, where an intelligent agent is a system that perceived its environment and takes actions that maximize its chances of success" [Russel and Norvig AI book]

Course content

  • Introduction, Agents, Rational agents, Agent types
  • Search agents:

    • Uninformed/blind search
    • Informed/Heuristic search
    • Local  search
    • Adversarial search

  • Constraint Satisfaction Problems
  • Markov Decision Processes
  • Reinforcement Learning
  • Applications

ECTS points: 5

Schedule

  • Lecture: every Wednesday 10:30 - 12:00
  • Tutorials: every Monday 10:35 - 12:05  or 12:05 - 13:35
  • Room: Multimedia Hörsaal (3703-023), Appelstraße 4 (lectures), Classroom eNIFE (3702 - 031) Schneiderberg 32 (tutorials)

Teaching team

  • Responsible professor: Prof. Dr. Wolfgang Nejdl
  • Teaching assistant: Nicolas Tempelmeier (tempelmeier(at)l3s.de), Ambreen Zaina (zaina(at)l3s.de)

Literature

  •  Artificial Intelligence: A Modern Approach  (3rd Edition) by Stuart Russel and Peter Norvig.

The lecture notes and exercises are based on the following courses:

      Lecture Notes

      Exercises

      Exam

      • Written exam