Piotr Gorczyca
Aus International Center for Computational Logic
M.Sc. Piotr Gorczyca
Wissenschaftlicher Mitarbeiter Computational Logic
- piotr.gorczyca@tu-dresden.de
- Chat (Matrix ): @pigo271b:tu-dresden.de
- +49 351 463 43549
- APB 2039
I joined the Computational Logic group in September 2022 as a research associate within the KIMEDS project and a PhD student.
Prior to that, I completed my master's degree in Computational Logic at the TU Dresden where I simultaneously worked as a student assistant on topics related to answer set programming and assumption-based argumentation in the Logic Programming and Argumentation group.
Neueste Publikationen
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Piotr Gorczyca, Hannes Straß
Adding Standpoint Modalities to Non-Monotonic S4F: Preliminary Results
In Nina Gierasimczuk, Jesse Heyninck, eds., Proceedings of the 22nd International Workshop on Non-Monotonic Reasoning, to appear
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Martin Diller, Sarah Alice Gaggl, Piotr Gorczyca
flexABle – System Description for ICCMA 2023
System description for ICCMA 2023, 2023
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Ridhwan Dewoprabowo, Johannes Klaus Fichte, Piotr Gorczyca, Markus Hecher
A Practical Account into Counting Dung’s Extensions by Dynamic Programming
In Georg Gottlob, Daniela Inclezan, Marco Maratea, eds., Proceedings of the 16th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2022), volume 13416 of Lecture Notes in Computer Science, 387-400, 2022. Springer
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Martin Diller, Sarah Alice Gaggl, Piotr Gorczyca
Strategies in Flexible Dispute Derivations for Assumption-Based Argumentation
In Sarah A. Gaggl, Jean-Guy Mailly, Matthias Thimm, Johannes P. Wallner, eds., Proceedings of the 4th International Workshop on Systems and Algorithms for Formal Argumentation (SAFA 2022), volume 3236, 59-72, October 2022. CEUR-WS
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Martin Diller, Sarah Alice Gaggl, Piotr Gorczyca
Flexible Dispute Derivations with Forward and Backward Arguments for Assumption-Based Argumentation
In Pietro Baroni, Christoph Benzmüller, Yì N. Wán, eds., Proceedings of the 4th International Conference on Logic and Argumentation (CLAR 2021), volume 13040 of LNCS, 147-168, 2021. Springer
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KIMEDS
KI-assistierte Zertifizierung medizinischer Software
