Logics for Reasoning about Uncertainty

SS 2017


  • A (preliminary) version of the script has been published.
  • There is no L2P room for this lecture. Learning materials will be published on this website.


TypeDateLocation Organizer
V2Tu 08:30 – 10:00AH IStart 25th AprilE. Grädel


Lecture Notes


Description of various logical systems for reasoning about issues that arise when the available data and/or observed events are uncertain, unknown, or unreliable. This includes aspects of quite different nature such as knowledge, dependence and independence, imperfect information, randomness. Connections to decision theory, probabilistic databases, provenance, and games.

Learning Objectives

Understanding of the differences between various forms of uncertainty and the logical methods for dealing with them. Mastering the methods for analyzing the expressive power and algorithmic properties of the appropriate logical systems.


[1]R. Fagin, J. Y. Halpern, Y. Moses, and M. Y. Vardi. Reasoning about Knowledge. MIT Press, 1995.
[2]J. Y. Halpern. Reasoning About Uncertainty. MIT Press, Cambridge, MA, USA, 2003.


  • Mathematical Logic


  • Informatik (GYM+GS,SII)/Hauptstudium/C. Mathematische Methoden der Informatik
  • Informatik (M.Sc.)/Theoretische Informatik
  • Mathematik (M.Sc.)/Mathematik/Reine Mathematik
  • Software Systems Engineering (M.Sc.)/Theoretical Foundations of Software Systems Engineering
  • Software Systems Engineering (M.Sc.)/[MPO2010] Theoretical Computer Science
  • Technik-Kommunikation (M.A.)/2. Hauptfach (Technisches Fach)/Grundlagen der Informatik/Hauptstudium/Spezialisierung Informatik


Erich Grädel, Matthias Hoelzel