Markus Ulbricht

Contact
M.Ulbricht
Leipzig University - Department of Computer Science - ScaDS.AI

About me

I am a postdoctoral researcher at the Center for Scalable Data Analytics and Artificial Intelligence ScaDS.AI in Leipzig. From March 2021 until August 2021 I visited the Database and Artificial Intelligence Group at TU Vienna. Before joining ScaDS.AI, I worked in the group of Prof. Gerhard Brewka. I received my PhD in 2019 with the thesis "Understanding Inconsistency – A Contribution to the Field of Non-monotonic Reasoning" (online version) (PDF). The thesis received an Honorable Mention at the EurAI Artificial Intelligence Dissertation Award 2019.
My main research interests are knowledge representation and (non-monotonic) reasoning, especially formal argumentation.

Research

Awards

Ray Reiter Best Paper Award at KR 2020 (pic)
for the paper Comparing Weak Admissibility Semantics to their Dung-style Counterparts -- Reduct, Modularization, and Strong Equivalence in Abstract Argumentation (together with Ringo Baumann and Gerhard Brewka).
Honorable Mention at the EurAI Artificial Intelligence Dissertation Award 2019
for the PhD Thesis Understanding Inconsistency – A Contribution to the Field of Non-monotonic Reasoning.
Dissertation Award 2019 from the Research Acadamy Leipzig
for the PhD Thesis Understanding Inconsistency – A Contribution to the Field of Non-monotonic Reasoning.
Shortlisted as AI Newcomer 2021 at the German AI-Camp
Nominated for Ray Reiter Best Paper Award at KR 2018
for the paper If Nothing is Accepted -- Repairing Argumentation Frameworks (together with Ringo Baumann).

Conference Papers

M. König, A. Rapberger, M. Ulbricht: Just a Matter of Perspective -- Intertranslating Expressive Argumentation Formalisms.
Proceedings of the 9th International Conference on Computational Models of Argument (COMMA'22), Sept. 2022.
M. Ulbricht, J. P. Wallner: Strongly Accepting Subframeworks: Connecting Abstract and Structured Argumentation.
Proceedings of the 9th International Conference on Computational Models of Argument (COMMA'22), Sept. 2022.
L. Blümel and M. Ulbricht: Defining Defense and Defeat in Abstract Argumentation From Scratch --- A Generalizing Approach.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR'22), Aug. 2022.
A. Rapberger, M. Ulbricht: On Dynamics in Structured Argumentation Formalisms.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR'22), Aug. 2022.
W. Dvorak, M. König, M. Ulbricht, S. Woltran: Rediscovering Argumentation Principles Utilizing Collective Attacks.
Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning (KR'22), Aug. 2022.
R. Baumann, A. Rapberger, M. Ulbricht: Equivalence in Argumentation Frameworks with a Claim-centric View --- Classical Results With Novel Ingredients.
Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI'22), Feb. 2022.
M. Ulbricht: On the Maximal Number of Complete Extensions in Abstract Argumentation Frameworks.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR'21), Nov. 2021.
R. Baumann, M. Ulbricht: Choices and their Consequences - Explaining Acceptable Sets in Abstract Argumentation Frameworks.
Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning (KR'21), Nov. 2021.
R. Baumann, G. Brewka, M. Ulbricht: Comparing Weak Admissibility Semantics to their Dung-style Counterparts (Extended Abstract).
Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Sister Conferences Best Papers, Aug. 2021.
R. Baumann, M. Ulbricht: On Cycles, Attackers and Supporters --- A Contribution to The Investigation of Dynamics in Abstract Argumentation.
Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21), Aug. 2021.
M. Ulbricht, J. P. Wallner: Strong Explanations in Abstract Argumentation.
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), February 2021.
W. Dvorak, M. Ulbricht, S. Woltran: Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility.
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI'21), February 2021.
R. Baumann, G. Brewka, M. Ulbricht: Comparing Weak Admissibility Semantics to their Dung-style Counterparts -- Reduct, Modularization, and Strong Equivalence in Abstract Argumentation.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning (KR'20), Sept. 2020.
R. Baumann, G. Brewka, M. Ulbricht: Revisiting the Foundations of Abstract Argumentation -- Semantics Based on Weak Admissibility and Weak Defense.
Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI'20), February 2020.
M. Ulbricht: Repairing Non-monotonic Knowledge Bases.
Proceedings of the 16th European Conference on Logics in Artificial Intelligence (JELIA 2019), volume 11468 of Lecture Notes in Computer Science. Springer-Verlag, 2019.
R. Baumann and M. Ulbricht: If Nothing is Accepted - Repairing Argumentation Frameworks.
Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR'18), Oct. 2018.
M. Ulbricht, M. Thimm, G. Brewka: Measuring Strong Inconsistency.
Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI'18), February 2018.
G. Brewka, M. Thimm, M. Ulbricht: Strong Inconsistency in Nonmonotonic Reasoning.
Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), pages 901-907, August 2017.
M. Ulbricht, M. Thimm, G. Brewka: Measuring Inconsistency in Answer Set Programs.
Proceedings of the 15th European Conference on Logics in Artificial Intelligence (JELIA 2016), volume 10021 of Lecture Notes in Artificial Intelligence. Springer-Verlag, 2016.

Journal Articles

W. Dvorak, M. Ulbricht, S. Woltran: Recursion in Abstract Argumentation is Hard --- On the Complexity of Semantics Based on Weak Admissibility.
Journal of Artificial Intelligence Research, volume 74, pages 1403 - 1447, July 2022.
R. Baumann, G. Brewka, M. Ulbricht: Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility.
Artificial Intelligence, volume 310, September 2022.
M. Ulbricht, M. Thimm, G. Brewka: Handling and Measuring Inconsistency in Non-monotonic Logics.
Artificial Intelligence, volume 286, June 2020.
R. Baumann and M. Ulbricht: If Nothing is Accepted - Repairing Argumentation Frameworks.
Journal of Artificial Intelligence Research, volume 66, pages 1099 - 1145, December 2019.
G. Brewka, M. Thimm, M. Ulbricht: Strong Inconsistency.
Artificial Intelligence, volume 267, pages 78-117, February 2019.

Workshop Papers

W. Dvorak, M. König, M. Ulbricht, S. Woltran: A Reduct-Driven Study of Argumentation Frameworks With Collective Attacks.
Proceedings of the 19th edition of the International Workshop on Non-Monotonic Reasoning (NMR'21), Nov. 2021.
T. Friese, M. Ulbricht: On the Relationship of Modularity Notions in Abstract Argumentation.
Proceedings of the 19th edition of the International Workshop on Non-Monotonic Reasoning (NMR'21), Nov. 2021.
R. Baumann, A. Rapberger, M. Ulbricht: Equivalence in Argumentation Frameworks with a Claim-centric View --- Classical Results With Novel Ingredients.
Proceedings of the 19th edition of the International Workshop on Non-Monotonic Reasoning (NMR'21), Nov. 2021.
W. Dvorak, M. Ulbricht, S. Woltran: Weak Admissibility is PSPACE-complete.
Proceedings of the 18th edition of the International Workshop on Non-Monotonic Reasoning (NMR'20), Sept. 2020.

Book Contributions

G. Brewka and M. Ulbricht: Strong Explanations for Nonmonotonic Reasoning.
In Carsten Lutz, Uli Sattler, Cesare Tinelli, Anni-Yasmin Turhan, Frank Wolter (Eds.), Description Logic, Theory Combination, and All That, volume 11560 of the Lecture Notes in Computer Science. Springer-Verlag, 2019.
M. Ulbricht, M. Thimm, G. Brewka: Inconsistency Measures for Disjunctive Logic Programs Under Answer Set Semantics.
In John Grant, Maria Vanina Martinez (Eds.), Measuring Inconsistency in Information, College Publications, volume 73 of Studies in Logic. February 2018.

Theses

M. Ulbricht: Understanding Inconsistency – A Contribution to the Field of Non-monotonic Reasoning. (online version) (PDF)
PhD Thesis.