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.

2023W, VU, 3.0h, 4.5EC


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

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


Additional information

The kick-off meeting will be on-site (if not possible online via Zoom). Lectures are planed to  be on-site. If that is not possible/feasible we will have ZOOM meetings for the lecture part. The meetings for the individual projects can be online or on-site (up to the student and project-supervisor).

Lecture dates will be scheduled in the kick-off meeting in accordance with the participants. If you want to attend the course but cannot make it to the kick-off please contact the lecturers (per email) before the kick-off.

ECTS breakdown: 4.5 ECTS = 112.5 Hours

0.5h Kick-Off meeting

18h Lectures incl. final discussions

19h Exercises

75h Project



Course dates

Wed16:00 - 17:0018.10.2023Seminarraum FAV EG C (Seminarraum Gödel) Kick-off meeting
Thu14:00 - 16:0023.11.2023 Room Menger - https://tuw-maps.tuwien.ac.at/?q=HF0311lecture
Thu14:00 - 16:0030.11.2023 Room Menger - https://tuw-maps.tuwien.ac.at/?q=HF0311lecture
Mon12:00 - 15:0004.12.2023 Room Menger - https://tuw-maps.tuwien.ac.at/?q=HF0311lecture
Mon12:00 - 14:0011.12.2023 Room Hahn - https://tuw-maps.tuwien.ac.at/?q=HD0315lecture
Mon12:00 - 16:0018.12.2023 Room Menger - https://tuw-maps.tuwien.ac.at/?q=HF0311lecture

Examination modalities

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

Course registration

Begin End Deregistration end
26.09.2023 00:00 04.11.2023 23:59 19.11.2023 23:59


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


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