Allgemeine Informationen

Veranstaltungsname	Seminar: Basic methods of probabilistic reasoning
Untertitel
Veranstaltungsnummer	8.3273
Semester	SoSe 2016
Aktuelle Anzahl der Teilnehmenden	38
Heimat-Einrichtung	LE Cognitive Science
Veranstaltungstyp	Seminar in der Kategorie Offizielle Lehrveranstaltungen
Erster Termin	Montag, 04.04.2016 10:00 - 12:00, Ort: 66/E01
Art/Form
SWS	2
Sprache	Englisch
ECTS-Punkte	4

Lehrende

Dr. rer. nat. Nico Potyka

Räume und Zeiten

66/E01: Montag: 10:00 - 12:00, wöchentlich (13x)

Studienbereiche

Kommentar/Beschreibung

Prerequisites: Participants should be well familiar with the most basic concepts of probability theory (probability distributions, independence), logic (propositional, first-order logic) and graph theory (directed, undirected graphs).

Summary: Classical logics often fail to meet the demands of reality since they cannot express uncertainty. In probabilistic reasoning, this shortcoming is overcome by applying methods from probability theory. Probabilistic graphical models belong to the most successful class of methods for probabilistic reasoning and have been applied in different areas like expert systems, medical diagnosis and computer vision. They are also the fundamental building blocks of many formalisms considered in the research area of statistical relational learning. Even though graphical models often perform well computationally, their knowledge representation abilities are quite restricted. Probabilistic logics combine logics and probabilitiy theory and provide higher expressivity. Whereas the first probabilistic logics were designed in a model-theoretic way, some more recent approaches are designed proof-theoretically by extending classical logical programming techniques.

Seminar: Basic methods of probabilistic reasoning - Details