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Foto: Matthias Friel

Advanced Problem Solving Techniques - Einzelansicht

Veranstaltungsart Vorlesung/Übung Veranstaltungsnummer 555912
SWS 5 Semester WiSe 2022/23
Einrichtung Institut für Informatik und Computational Science   Sprache englisch
Weitere Links Moodle
Belegungsfrist 04.10.2022 - 10.11.2022

Belegung über PULS
Gruppe 1:
     jetzt belegen / abmelden
    Tag Zeit Rhythmus Dauer Raum Lehrperson Ausfall-/Ausweichtermine Max. Teilnehmer/-innen
Einzeltermine anzeigen
Vorlesung Fr 12:00 bis 16:00 wöchentlich 21.10.2022 bis 10.02.2023  2.70.0.10 Prof. Dr. Schaub 23.12.2022: Akademische Weihnachtsferien
30.12.2022: Akademische Weihnachtsferien
Einzeltermine anzeigen
Übung Do 12:00 bis 14:00 14-täglich 24.11.2022 bis 05.01.2023  2.70.0.10 Laferriere ,
Romero Davila ,
Prof. Dr. Schaub ,
Tignon
08.12.2022: 
22.12.2022: Akademische Weihnachtsferien
Einzeltermine anzeigen
Übung Do 12:00 bis 14:00 Einzeltermin am 09.02.2023 2.70.0.10 Laferriere ,
Romero Davila ,
Prof. Dr. Schaub ,
Tignon
 
Kurzkommentar

We start on Friday 21st of October. More information about the course can be found at Moodle. - cu

Kommentar

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.

Literatur
  • 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
Bemerkung

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.

Voraussetzungen

Motivation.

Leistungsnachweis

Marked exam, assignments, report and talk.

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

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


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2022/23 , Aktuelles Semester: WiSe 2023/24