| Linear programs for measuring inconsistency in probabilistic logics N Potyka Fourteenth International Conference on the Principles of Knowledge …, 2014 | 41 | 2014 |
| Probabilistic reasoning with inconsistent beliefs using inconsistency measures N Potyka, M Thimm Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015 | 40 | 2015 |
| Consolidation of probabilistic knowledge bases by inconsistency minimization N Potyka, M Thimm ECAI 2014, 729-734, 2014 | 29 | 2014 |
| Continuous dynamical systems for weighted bipolar argumentation N Potyka Sixteenth International Conference on Principles of Knowledge Representation …, 2018 | 22 | 2018 |
| Updating probabilistic epistemic states in persuasion dialogues A Hunter, N Potyka European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2017 | 20 | 2017 |
| Solving reasoning problems for probabilistic conditional logics with consistent and inconsistent information N Potyka FernUniversität in Hagen, 2016 | 17 | 2016 |
| Updating belief in arguments in epistemic graphs A Hunter, S Polberg, N Potyka Sixteenth International Conference on Principles of Knowledge Representation …, 2018 | 16 | 2018 |
| Towards statistical reasoning in description logics over finite domains R Peñaloza, N Potyka International Conference on Scalable Uncertainty Management, 280-294, 2017 | 15 | 2017 |
| A software system using a SAT solver for reasoning under complete, stable, preferred, and grounded argumentation semantics C Beierle, F Brons, N Potyka Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2015 | 15 | 2015 |
| A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics N Potyka, C Beierle, G Kern-Isberner Journal of Applied Logic 13 (4), 414-440, 2015 | 14 | 2015 |
| Extending modular semantics for bipolar weighted argumentation N Potyka Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019 | 12 | 2019 |
| Reasoning over linear probabilistic knowledge bases with priorities N Potyka International Conference on Scalable Uncertainty Management, 121-136, 2015 | 12 | 2015 |
| Extending and completing probabilistic knowledge and beliefs without bias C Beierle, G Kern-Isberner, M Finthammer, N Potyka KI-Künstliche Intelligenz 29 (3), 255-262, 2015 | 10 | 2015 |
| Interpreting neural networks as quantitative argumentation frameworks N Potyka Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6463-6470, 2021 | 8 | 2021 |
| A polynomial-time fragment of epistemic probabilistic argumentation N Potyka International Journal of Approximate Reasoning 115, 265-289, 2019 | 8 | 2019 |
| Inconsistency-tolerant reasoning over linear probabilistic knowledge bases N Potyka, M Thimm International Journal of Approximate Reasoning 88, 209-236, 2017 | 8 | 2017 |
| A tutorial for weighted bipolar argumentation with continuous dynamical systems and the java library attractor N Potyka arXiv preprint arXiv:1811.12787, 2018 | 7 | 2018 |
| Changes of relational probabilistic belief states and their computation under optimum entropy semantics N Potyka, C Beierle, G Kern-Isberner Annual Conference on Artificial Intelligence, 176-187, 2013 | 7 | 2013 |
| A case study on the application of probabilistic conditional modelling and reasoning to clinical patient data in neurosurgery C Beierle, M Finthammer, N Potyka, J Varghese, G Kern-Isberner European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2013 | 7 | 2013 |
| Group decision making via probabilistic belief merging N Potyka, E Acar, M Thimm, H Stuckenschmidt IJCAI/AAAI Press, 2016 | 6 | 2016 |
Matthias ThimmUniversity of HagenVerified email at fernuni-hagen.de
