| Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures. N Potyka, M Thimm IJCAI 2015, 3156-3163, 2015 | 38 | 2015 |
| Linear programs for measuring inconsistency in probabilistic logics N Potyka Fourteenth International Conference on the Principles of Knowledge …, 2014 | 36 | 2014 |
| Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. N Potyka, M Thimm ECAI, 729-734, 2014 | 28 | 2014 |
| Updating probabilistic epistemic states in persuasion dialogues A Hunter, N Potyka European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2017 | 19 | 2017 |
| Continuous Dynamical Systems for Weighted Bipolar Argumentation. N Potyka KR, 148-157, 2018 | 16 | 2018 |
| Updating belief in arguments in epistemic graphs A Hunter, S Polberg, N Potyka Association for the Advancement of Artificial Intelligence, 2018 | 15 | 2018 |
| Solving reasoning problems for probabilistic conditional logics with consistent and inconsistent information N Potyka FernUniversität in Hagen, 2016 | 14 | 2016 |
| Towards statistical reasoning in description logics over finite domains R Peñaloza, N Potyka International Conference on Scalable Uncertainty Management, 280-294, 2017 | 12 | 2017 |
| 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 | 12 | 2015 |
| 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 | 12 | 2015 |
| Reasoning over linear probabilistic knowledge bases with priorities N Potyka International Conference on Scalable Uncertainty Management, 121-136, 2015 | 11 | 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 |
| 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 | 8 | 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 | 8 | 2013 |
| Extending modular semantics for bipolar weighted argumentation N Potyka Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019 | 7 | 2019 |
| Group decision making via probabilistic belief merging N Potyka, E Acar, M Thimm, H Stuckenschmidt IJCAI/AAAI Press, 2016 | 6 | 2016 |
| A polynomial-time fragment of epistemic probabilistic argumentation N Potyka International Journal of Approximate Reasoning 115, 265-289, 2019 | 5 | 2019 |
| A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic C Beierle, M Finthammer, N Potyka, J Varghese, G Kern-Isberner J. Log 4, 2063-2095, 2017 | 5 | 2017 |
| Towards a general framework for maximum entropy reasoning N Potyka Twenty-Fifth International FLAIRS Conference, 2012 | 5 | 2012 |
| A tutorial for weighted bipolar argumentation with continuous dynamical systems and the Java library attractor N Potyka arXiv preprint arXiv:1811.12787, 2018 | 4 | 2018 |
Matthias ThimmUniversität Koblenz-LandauBestätigte E-Mail-Adresse bei uni-koblenz.de
