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Nico Potyka
Nico Potyka
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Linear programs for measuring inconsistency in probabilistic logics
N Potyka
Fourteenth International Conference on the Principles of Knowledge …, 2014
422014
Probabilistic reasoning with inconsistent beliefs using inconsistency measures
N Potyka, M Thimm
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
412015
Consolidation of probabilistic knowledge bases by inconsistency minimization
N Potyka, M Thimm
ECAI 2014, 729-734, 2014
302014
Continuous dynamical systems for weighted bipolar argumentation
N Potyka
Sixteenth International Conference on Principles of Knowledge Representation …, 2018
292018
Updating probabilistic epistemic states in persuasion dialogues
A Hunter, N Potyka
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2017
202017
Extending modular semantics for bipolar weighted argumentation
N Potyka
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019
182019
Updating belief in arguments in epistemic graphs
A Hunter, S Polberg, N Potyka
Sixteenth International Conference on Principles of Knowledge Representation …, 2018
172018
Solving reasoning problems for probabilistic conditional logics with consistent and inconsistent information
N Potyka
FernUniversität in Hagen, 2016
172016
Interpreting neural networks as quantitative argumentation frameworks
N Potyka
Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6463-6470, 2021
162021
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
162015
Towards statistical reasoning in description logics over finite domains
R Peñaloza, N Potyka
International Conference on Scalable Uncertainty Management, 280-294, 2017
152017
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
132015
Inconsistency-tolerant reasoning over linear probabilistic knowledge bases
N Potyka, M Thimm
International Journal of Approximate Reasoning 88, 209-236, 2017
122017
Reasoning over linear probabilistic knowledge bases with priorities
N Potyka
International Conference on Scalable Uncertainty Management, 121-136, 2015
122015
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
102015
A polynomial-time fragment of epistemic probabilistic argumentation
N Potyka
International Journal of Approximate Reasoning 115, 265-289, 2019
92019
A tutorial for weighted bipolar argumentation with continuous dynamical systems and the java library attractor
N Potyka
arXiv preprint arXiv:1811.12787, 2018
92018
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
72013
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
72013
Probabilistic argumentation: A survey
A Hunter, S Polberg, N Potyka, T Rienstra, M Thimm
Handbook of Formal Argumentation 2, 2021
62021
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