Theo dõi
Markus Ulbricht
Markus Ulbricht
Postdoctoral Researcher, Leipzig University, Germany
Email được xác minh tại informatik.uni-leipzig.de - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
Revisiting the foundations of abstract argumentation–semantics based on weak admissibility and weak defense
R Baumann, G Brewka, M Ulbricht
Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2742-2749, 2020
632020
If Nothing Is Accepted--Repairing Argumentation Frameworks
M Ulbricht, R Baumann
Journal of Artificial Intelligence Research 66, 1099-1145, 2019
432019
Strong inconsistency
G Brewka, M Thimm, M Ulbricht
Artificial Intelligence 267, 78-117, 2019
362019
Comparing Weak Admissibility Semantics to their Dung-style Counterparts--Reduct, Modularization, and Strong Equivalence in Abstract Argumentation
R Baumann, G Brewka, M Ulbricht
Proceedings of the International Conference on Principles of Knowledge …, 2020
352020
Strong explanations in abstract argumentation
M Ulbricht, JP Wallner
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6496-6504, 2021
332021
Just a matter of perspective
M König, A Rapberger, M Ulbricht
Computational Models of Argument, 212-223, 2022
252022
Measuring inconsistency in answer set programs
M Ulbricht, M Thimm, G Brewka
Logics in Artificial Intelligence: 15th European Conference, JELIA 2016 …, 2016
222016
On dynamics in structured argumentation formalisms
A Rapberger, M Ulbricht
Journal of Artificial Intelligence Research 77, 563-643, 2023
212023
Shedding new light on the foundations of abstract argumentation: Modularization and weak admissibility
R Baumann, G Brewka, M Ulbricht
Artificial Intelligence 310, 103742, 2022
182022
Strong explanations for nonmonotonic reasoning
G Brewka, M Ulbricht
Description Logic, Theory Combination, and All That: Essays Dedicated to …, 2019
182019
Choices and their Consequences-Explaining Acceptable Sets in Abstract Argumentation Frameworks.
R Baumann, M Ulbricht
KR, 110-119, 2021
172021
Handling and measuring inconsistency in non-monotonic logics
M Ulbricht, M Thimm, G Brewka
Artificial Intelligence 286, 103344, 2020
162020
Argumentation frameworks induced by assumption-based argumentation: Relating size and complexity
T Lehtonen, A Rapberger, M Ulbricht, JP Wallner
International Conference on Principles of Knowledge Representation and …, 2023
152023
Forgetting aspects in assumption-based argumentation
M Berthold, A Rapberger, M Ulbricht
Proceedings of the International Conference on Principles of Knowledge …, 2023
142023
Rediscovering argumentation principles utilizing collective attacks
W Dvořák, M König, M Ulbricht, S Woltran
arXiv preprint arXiv:2205.03151, 2022
132022
Recursion in Abstract Argumentation is Hard---On the Complexity of Semantics Based on Weak Admissibility
W Dvořák, M Ulbricht, S Woltran
Journal of Artificial Intelligence Research 74, 1403-1447, 2022
122022
On Cycles, Attackers and Supporters---A Contribution to The Investigation of Dynamics in Abstract Argumentation
R Baumann, M Ulbricht
Twenty-Ninth International Joint Conference on Artificial Intelligence 2 …, 2021
122021
Strong Inconsistency in Nonmonotonic Reasoning.
G Brewka, M Thimm, M Ulbricht
IJCAI, 901-907, 2017
122017
Principles and their computational consequences for argumentation frameworks with collective attacks
W Dvořák, M König, M Ulbricht, S Woltran
Journal of Artificial Intelligence Research 79, 69-136, 2024
112024
Measuring strong inconsistency
M Ulbricht, M Thimm, G Brewka
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
102018
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