Lars Bengel
Curriculum vitae
Education
| 2021 | M. Sc. Computer Science, University of Koblenz-Landau Thesis: Learning Argumentation Frameworks from Labelings |
| 2018 | B. Sc. Computer Science, University of Koblenz-Landau Thesis: Optimierung einer Statistikdatenbank für Big Data |
Academic Career
| 2021 | Scientific Employee, FernUniversität in Hagen |
Language Skills
- German: Native
- English: Very good knowledge
Publications
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Lars Bengel, Matthias Thimm. „Sequence Explanations for Acceptance in Abstract Argumentation“, The 22nd International Conference on Principles of Knowledge Representation and Reasoning (KR’25), 2025
Lars Bengel, Julian Sander, Matthias Thimm. „A Reduct-based Approach to Skeptical Preferred Reasoning in Abstract Argumentation“, The 22nd International Conference on Principles of Knowledge Representation and Reasoning (KR’25), 2025
Lars Bengel, Julian Sander, Matthias Thimm. „Skeptical Preferred Reasoning via Reducts in Abstract Argumentation“, Proceedings of the 23rd International Workshop on Nonmonotonic Reasoning (NMR’25), 2025
Lars Bengel, Matthias Thimm. „Initial Models and Serialisability in Abstract Dialectical Frameworks“, Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI’25), 2025
Lars Bengel, Matthias Thimm, Federico Cerutti, Mauro Vallati. „Algorithms for Computing the Set of Acceptable Arguments“, Int. J. Approx. Reason., 2025
Lars Bengel, Giovanni Buraglio, Jan Maly, Kenneth Skiba. „An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation“, The 39th AAAI Conference on Artificial Intelligence (AAAI’25), 2025
Lars Bengel, Julian Sander, Matthias Thimm. „Characterising Serialisation Equivalence for Abstract Argumentation“, 27th European Conference on Artificial Intelligence (ECAI’24), 2024
Lars Bengel, Giovanni Buraglio, Jan Maly, Kenneth Skiba. „An Extension-Based Argument-Ranking Semantics: Social Rankings in Abstract Argumentation“, Proceedings of the 22nd International Workshop on Nonmonotonic Reasoning (NMR’24), 2024
Lars Bengel, Lydia Blümel, Tjitze Rienstra, Matthias Thimm. „Argumentation-Based Probabilistic Causal Reasoning“, Robust Argumentation Machines - First International Conference (RATIO’24), 2024
Lars Bengel. „Towards Generalising Serialisability to other Argumentation Formalisms“, Online Handbook of Argumentation for AI: Volume 4, 2024
Lars Bengel, Tjitze Rienstra, Matthias Thimm. „Learning Argumentation Frameworks from Labelings“, Argument & Computation, 2024
Lars Bengel, Matthias Thimm. „Towards Parallelising Extension Construction for Serialisable Semantics for Abstract Argumentation“, The 20th International Conference on Principles of Knowledge Representation and Reasoning (KR’23), 2023
Lars Bengel, Matthias Thimm. „Serialisable Semantics in Abstract Argumentation“, Computational Models of Argument (COMMA’22), 2022
Lars Bengel, Lydia Blümel, Tjitze Rienstra, Matthias Thimm. „Argumentation-based Causal and Counterfactual Reasoning“, 1st International Workshop on Argumentation for eXplainable AI, 2022
Lars Bengel. „On Serialisability for Argumentative Explanations“, Online Handbook of Argumentation for AI: Volume 3, 2022
Isabelle Kuhlmann, Tjitze Rienstra, Lars Bengel, Kenneth Skiba, Matthias Thimm. „Distinguishability in Abstract Argumentation“, The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR’21), 2021
