184.682 Abstract Argumentation
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 3.0h, 4.5EC

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to

  • explain the fundamental concepts of formal argumentation
  • apply the methodology of formal argumentation to select reserach topics
  • apply established methods from the field of knowledge representation to a new formalism
  • contribute to scientific research within a team of experts

 

Subject of course

+ lecture part:
    - Dungs Abstract Argumentation Frameworks
    - Semantics for abstract argumentation
    - Properties and Complexity of argumentation
    - Algorithms and ASP / (Q)SAT Encodings
    - Recent developments in abstract argumentation

+ practical part:
    - Application of the concepts and techniques presented in the lecture

Teaching methods

The course consists of both a lecture part, where the appropriate concepts will be presented, and a practical part.
In the latter, students (in cooperation with a lecturer) are supposed to work
out some theoretical results OR / AND  breaking down such results to practice by respective implementations.

Mode of examination

Immanent

Additional information

ECTS breakdown: 4.5 ECTS = 112.5 Hours

 

0.5h Kick-Off meeting

18h Lectures incl. final discussions

19h Exercises

75h Project

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 14:0023.10.2019Seminarraum FAV EG C (Seminarraum Gödel) Kick-Off Meeting
Wed14:00 - 17:0013.11.2019 room Menger (3th floor) -see https://www.dbai.tuwien.ac.at/staff/dvorak/3thfloor_labels.pdfIntroduction to Abstract Argumentation (by Stefan Woltran)
Wed14:00 - 17:0020.11.2019 room Menger (3th floor) -see https://www.dbai.tuwien.ac.at/staff/dvorak/3thfloor_labels.pdfAbstract Argumentation II (by Stefan Woltran)
Thu14:00 - 17:0021.11.2019 room Menger (3th floor) -see https://www.dbai.tuwien.ac.at/staff/dvorak/3thfloor_labels.pdfComplexity of Abstract Argumentation (by Wolfgang Dvořák)
Thu14:00 - 17:0028.11.2019Seminarraum FAV EG B (Seminarraum von Neumann) Algorithms and ASP / (Q)SAT Encodings (by Uwe Egly)
Wed14:00 - 17:0004.12.2019 room Menger (3th floor) -see https://www.dbai.tuwien.ac.at/staff/dvorak/3thfloor_labels.pdfGeneralizations of Dungs Abstract Argumentation Frameworks (by Johannes Wallner)
Thu14:00 - 17:0005.12.2019 room Menger (3th floor) -see https://www.dbai.tuwien.ac.at/staff/dvorak/3thfloor_labels.pdfStructured Argumentation (by Johannes Wallner)

Examination modalities

Elaboration of the practical part & exam at the end of the course.

Course registration

Use Group Registration to register.

Group Registration

GroupRegistration FromTo
listeners15.10.2019 13:0028.01.2020 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
066 011 Double degree programme "Computational Logic (Erasmus-Mundus)" Not specified
066 931 Logic and Computation Mandatory elective

Literature

No lecture notes are available.

Previous knowledge

The course adresses advanced students in knowledge representation. There are no formal prerequisites for this course. However, students will profit from preknowledge in the following subjects.

  1. Basic complexity theory: Knowledge of the fundamental concepts of complexity theory, e.g.: complexity classes; reductions; classes P and NP;

    If you successfully completed one of the following courses you probably have these skills.
    185.291 4.0 VU Formal Methods in Computer Science,
    181.142 2.0 VU Complexity Theory,
    184.215 2.0 VU Complexity Analysis

  2. SAT-Solving OR Answer Set Programming (ASP): Ability to formalize a combinatorial problem in SAT or ASP and solve it with state-of-the-art systems.

    If you successfully completed one of the following courses you probably have these skills:
    184.090 2.0 VU SAT Solving,
    184.143 2.0 VL Logic-oriented Programming,
    184.176 1.0 LU Introduction to Knowledge-based Systems

 

Language

English