Karlsruhe Institute of TechnologyKarlsruhe Institute of Technology
Webmaster | Print | Englisch

Vorlesung Intelligent Agents and Decision Theory

Zurück zur Übersicht
Semester:Sommersemester 2022
Dozenten:Prof. Dr. Andreas Geyer-Schulz; B.Sc. Marvin Schweizer;
Termin:Donnerstag 09:45 - 11:15
Ort:Geb. 11.40 Raum 221


Um sich für die Vorlesung einzuschreiben, müssen Sie sich einloggen.


Course Description

The key assumption of this lecture is that the concept of artificial intelligence is inseparably linked to the economic concept of rationality of agents. We consider different classes of decision problems - decisions under certainty, risk and uncertainty - from an economic, managerial and AI-engineering perspective:

From an economic point of view, we analyze how to act rationally in these situations based on classic utility theory. In this regard, the course also introduces the relevant parts of decision theory for dealing with multiple conflicting objectives, incomplete, risky and uncertain information about the world, assessing utility functions, and quantifying the value of information ...

From an engineering perspective, we discuss how to develop practical solutions for these decision problems, using appropriate AI components. We introduce a general, agent-based design framework for AI systems, as well as AI methods from the fields of search (for decisions under certainty), inference (for decions under risk) and learning (for decisions under uncertainty).

Where applicable, the course highlights the theoretical ties of these methods with decision theory.

We may also discuss ethical and philosophical issues concerning the development and use of AI.


Time Inhalt
21.04.2022, 09:45 - 11:15
28.04.2022, 09:45 - 11:15
05.05.2022, 09:45 - 11:15
12.05.2022, 09:45 - 11:15
19.05.2022, 09:45 - 11:15
26.05.2022, 09:45 - 11:15
02.06.2022, 09:45 - 11:15
16.06.2022, 09:45 - 11:15
23.06.2022, 09:45 - 11:15
30.06.2022, 09:45 - 11:15
07.07.2022, 09:45 - 11:15
14.07.2022, 09:45 - 11:15
21.07.2022, 09:45 - 11:15
28.07.2022, 09:45 - 11:15


Inhalt Autor
Introduction Geyer-Schulz, Andreas; Schweizer, Marvin

Intelligent Agents Geyer-Schulz, Andreas; Schweizer, Marvin

Trade-offs under Certainty Geyer-Schulz, Andreas; Schweizer, Marvin

Search: Linear programming for decisions under certainty Geyer-Schulz, Andreas; Schweizer, Marvin

Decisions under Risk Geyer-Schulz, Andreas; Schweizer, Marvin

Information Systems Geyer-Schulz, Andreas; Schweizer, Marvin

Bayesian Decision Networks Geyer-Schulz, Andreas; Schweizer, Marvin

Inference in Bayesian Networks Geyer-Schulz, Andreas; Schweizer, Marvin

Learning in Bayesian Networks. Basics Geyer-Schulz, Andreas; Schweizer, Marvin

Learning in Bayesian Networks. Algorithms Geyer-Schulz, Andreas; Schweizer, Marvin