Lecture

Description:

The module covers approximately the first half of the book by Stuart Russel, Peter Norvig: Artificial Intelligence, A Modern Approach, 3rd. Edition. This includes: Introduction, Foundations and History of AI, Intelligent Agents, Problem Solving by Search, Heuristic Search Methods, Local Search Methods, Searching with Nondeterministic Actions and Partial Observations, Adversarial Search Methods, Game Search Methods, Alpha Beta Pruning, Stochastic Games, constraint satisfaction problems, backtracking search, logical agents, agents based on propositional logic, predicate logic and knowledge representation therein, unification and lifting, forward chaining, backward chaining, prologue, classical planning, hierarchical planning and multi-agent planning, knowledge representation.
The concepts of the lecture are deepened in exercises and programming tasks with Python. Students learn to solve problems independently with AI techniques.

Registration (obligatory)

via moodle: Artificial Intelligence

Requirements:

Mathematik I+II, Informatik I+II, Algorithmen. Advantageous: Experienced in Python.

Literature:

Stuart Russel, Peter Norvig: Artificial Intelligence, A Modern Approach, 3rd. Edition, Prentice Hall

Exercise Sessions