Knowledge Representation and Reasoning

Welcome to the group headed by Johannes (P.) Wallner, specializing on Knowledge Representation & Reasoning (KRR).

If you are interested in student topics (e.g., for a Bachelor's or Master's thesis) you can have look at the topics page. A Bachelor's or Master's thesis can be started anytime (contact).

Broadly construed, knowledge representation & reasoning in Artificial Intelligence is concerned with foundational research questions such as how to represent knowledge and how to reason based on knowledge. Our research and teaching focuses on

  • formal studies of prominent logic-based representations of knowledge, and
  • addressing challenging computational reasoning tasks arising in KRR.

Our research agenda is to further understanding of complex forms of reasoning in knowledge representation, and to bring promising approaches closer to application, by going from theory to practice.

One of our main current areas is computational argumentation. For a general introduction to the topic, you can have a look, e.g., at the Handbook of Formal Argumentation or this article

** News **: we are organizing the next ICCMA in 2025.

** New course **: Logic-based Knowledge Representation (winter term).

Below you find recent news (news archive).

Recent News


Papers accepted to AAAI and TAASP

16.11.2025

Our work on "Under-Approximating Semantics in Clustered Assumption-Based Argumentation" was accepted to the prestigious AAAI conference in Singapore, and our work on "CompLogDL and its Implementation in Answer Set Programming" was accepted to the TAASP workshop in Vienna. The former tackles foundational work in simplifying argumentative reasoning in the assumption-based argumentation (ABA) formalism. We show how to simplify, cluster, defeasible elements of the formalism and maintain sound reasoning, in contrast to earlier work by us that focused on complete reasoning. In the latter work we look at computational properties of CompLogDL and present a declarative approach by presenting an encoding in answet set programming (ASP). 


Paper invited to the Arg&App Workshop

03.11.2025

Our preliminary report on the Sixth International Competition on Computational Models of Argumentation (ICCMA 2025), organized by us, was invited to be part of the Arg&App workshop. More details on the competition will be published at a later date. We thank all participants for their invaluable contributions!


Welcome Lucrezia!

16.10.2025

We welcome Lucrezia Mosconi to our team! She recently finished her Master's at the University of Amsterdam, at the Institute for Logic, Language and Computation (ILLC), and will strengthen our team as a university assistant.


Paper accepted to JELIA

14.7.2025

Our work on "Completing Structured Arguments in Assumption-based Argumentation" was accepted to the JELIA conference in 2025. In this work we look at declarative algorithmic approaches on how to complete partially specified arguments within the formalization of assumption-based argumentation.


Paper accepted to JAIR

27.6.2025

Our work on "Argumentative Reasoning in ASPIC+ under Incomplete Information" was accepted to the Journal of Artificial Intelligence Research (JAIR). In this article we look study complexity and algorithms for argumentative reasoning tasks that arise in an application at the Dutch National Police in the domain of fraud detection.


Open PhD Student Position

21.3.2025

There is an open PhD student position, see here