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Advanced Problem Solving Techniques - Einzelansicht

  • Funktionen:
  • Zur Zeit keine Belegung möglich
Veranstaltungsart Vorlesung/Übung Veranstaltungsnummer
SWS 5 Semester WiSe 2023/24
Einrichtung Institut für Informatik und Computational Science   Sprache englisch
Belegungsfrist 02.10.2023 - 10.11.2023   
Gruppe 1:
     Zur Zeit keine Belegung möglich
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Vorlesung Fr 12:00 bis 16:00 wöchentlich 20.10.2023 bis 27.10.2023 Prof. Dr. Schaub  
Einzeltermine anzeigen
Vorlesung Fr 12:00 bis 16:00 wöchentlich 03.11.2023 bis 09.02.2024 Prof. Dr. Schaub 29.12.2023: Akademische Weihnachtsferien
05.01.2024: Akademische Weihnachtsferien
Übung -  bis  wöchentlich am   Laferriere ,
Nemes ,
Romero Davila ,
Prof. Dr. Schaub
  Bemerkung: Times and Dates will be announced by the lecturer.

We start on Friday 20th of October at 12:00. More information about the course can be found at Moodle. - cu


Answer Set Programming (ASP) is a prime approach to declarative problem solving. Although initially tailored to modeling problems in the area of Knowledge Representation and Reasoning (KRR), its attractive combination of a rich yet simple modeling language with high-performance solving capacities has sparked interests in academia and industry way beyond KRR. This course presents a detailed introduction to ASP, aiming at using ASP languages and systems for solving application problems. Starting from the essential formal foundations, it introduces ASP's solving technology, modeling language and methodology, while illustrating the overall solving process by practical examples.

  • Answer Set Solving in Practice by Martin Gebser, Roland Kaminski, Benjamin Kaufmann, and Torsten Schaub. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan and Claypool
  • Potassco User Guide by the Potassco team, https://github.com/potassco/guide/releases
  • Answer Set Programming by Vladimir Lifschitz. Springer
  • Knowledge Representation, Reasoning, and the Design of Intelligent Agents: The Answer-Set Programming Approach by Michael Gelfond and Yulia Kahl. Cambridge University Press

Offline communication is conducted primarily via the associated moodle page.

Announcements are also made through the email list of registered students in puls.

Questions can be addressed to asp@lists.cs.uni-potsdam.de​


A tutorial introduction to answer set programming, used in the projects, is given separately.




Marked exam, assignments, report and talk.

  • Motivation
  • Introduction
  • Modeling
  • Language
  • Grounding
  • Foundations
  • Solving
  • Advanced modeling

This is an introductory lecture for MSc students with varying backgrounds.

Die Veranstaltung wurde 4 mal im Vorlesungsverzeichnis WiSe 2023/24 gefunden:
Humanwissenschaftliche Fakultät
Department Linguistik
Master of Science
Cognitive Systems: Language, Learning and Reasoning (Prüfungsversion ab WiSe 2014/15)
Compulsory Module
BM3 - Advanced Problem Solving Techniques  - - - 1 offens Buch
Mathematisch-Naturwissenschaftliche Fakultät
Institut für Informatik und Computational Science
Master of Science
Data Science (Prüfungsversion ab WiSe 2018/19)
Elective Modules - Advanced Module
BM3 - Advanced Problem Solving Techniques  - - - 2 offens Buch
INF-DSAM6A - Advanced Applied Data Science A  - - - 3 offens Buch
Wirtschafts- und Sozialwissenschaftliche Fakultät
Master of Science
Wirtschaftsinformatik und Digitale Transformation (Prüfungsversion ab WiSe 2017/18)
BM3 - Advanced Problem Solving Techniques  - - - 4 offens Buch