Artificial Intelligence I

  • "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]

LECTURER

Prof. Dr. techn. Wolfgang Nejdl
Professorinnen und Professoren

COURSE CONTENT

  • Introduction to Artificial Intelligence algorithms
  • Uninformed Search
  • Informed Search
  • Constraint Satisfaction Problems
  • Adversarial Search
  • Expectimax search and Utilities
  • Markov Decision Processes
  • Reinforcement Learning
  • Introduction to Probability Theory
  • Bayes’ Nets 

SCHEDULE AND OTHER INFORMATION

Lecture: Wednesdays 12:15 - 13:45, weekly
Raum 023: Multimedia-Hörsaal, Gebaeude 3703: Technische Informatik 

Tutorials: Mondays 12:00 - 13:30, weekly
Raum 031: e-Classroom eNIFE, Gebaeude 3702: Informationstechnologie

LITERATURE

Artificial Intelligence: A Modern Approach (4th Edition) by Stuart Russell and Peter Norvig.

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

EXAM

  • The exam duration is 90 minutes.
  • The only allowed aid is a one-sided sheet of paper with handwritten notes.