Introduction into Artificial Intelligence


Artificial intelligence methods aim at solving intellectual tasks automatically, i.e., tasks that are usually solved by human reasoning. This lecture embeds AI within the framework of agent theory and then focuses concretely on the implementation of this by probabilistic graphical models, from modelling including representation and learning to probabilistic inference and decision making, at the static and temporal level.

Note: The share of machine learning methods discussed is rather small. For a focus on machine learning, the module Pattern Recognition and Machine Learning is recommended.

The lecture is given in German. Please move to the German version of this site for further details or register in the Learnweb course: