Knowledge-Based Systems Group

An announcement of the course can also be found in the course information system CAMPUS.

Contents

Topics covered in the course

The course introduces techniques for knowledge representation and reasoning. The topics covered are:

In this seminar we will study several different approaches to and aspects of plan and activity recognition. Recognizing what other agents are doing is an important aspect of intelligent systems. For example, a domestic service robot needs to understand what the human is doing in order to interact with him in a reasonable way. And a self-driving car should know what the other traffic participants are doing right now and infer what they are going to do in the next moments. Different domains bring along different problems and needs for levels of expressiveness like partial observability, incomplete knowledge, non-deterministic actions, adversarial agents, potentially hazardous situations. We will study some of the latest research on these problems and work out the particular strengths and weaknesses.

The proseminar will be on different (sub-)topics from artificial intelligence. We largely follow the lines of the well known textbook by Stuart Russell and Peter Norvig “Artificial Intelligence - A Modern Approach”.