Nico Potyka
Nico Potyka
Bestätigte E-Mail-Adresse bei ipvs.uni-stuttgart.de
Titel
Zitiert von
Zitiert von
Jahr
Linear programs for measuring inconsistency in probabilistic logics
N Potyka
Fourteenth International Conference on the Principles of Knowledge …, 2014
352014
Probabilistic reasoning with inconsistent beliefs using inconsistency measures
N Potyka, M Thimm
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
332015
Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization.
N Potyka, M Thimm
ECAI, 729-734, 2014
282014
Continuous dynamical systems for weighted bipolar argumentation
N Potyka
Sixteenth International Conference on Principles of Knowledge Representation …, 2018
142018
Updating probabilistic epistemic states in persuasion dialogues
A Hunter, N Potyka
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2017
142017
Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information.
N Potyka
FernUniversität in Hagen, 2016
142016
Updating belief in arguments in epistemic graphs
A Hunter, S Polberg, N Potyka
Sixteenth International Conference on Principles of Knowledge Representation …, 2018
132018
Towards statistical reasoning in description logics over finite domains
R Peñaloza, N Potyka
International Conference on Scalable Uncertainty Management, 280-294, 2017
132017
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
132015
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
122015
Reasoning over linear probabilistic knowledge bases with priorities
N Potyka
International Conference on Scalable Uncertainty Management, 121-136, 2015
102015
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
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
82013
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
82013
Group decision making via probabilistic belief merging
N Potyka, E Acar, M Thimm, H Stuckenschmidt
IJCAI/AAAI Press, 2016
62016
Extending modular semantics for bipolar weighted argumentation
N Potyka
Joint German/Austrian Conference on Artificial Intelligence (Künstliche …, 2019
52019
Towards a general framework for maximum entropy reasoning
N Potyka
Twenty-Fifth International FLAIRS Conference, 2012
52012
Inconsistency-tolerant reasoning over linear probabilistic knowledge bases
N Potyka, M Thimm
International Journal of Approximate Reasoning 88, 209-236, 2017
42017
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
42017
Probabilistic Reasoning in the Description Logic with the Principle of Maximum Entropy
R Peñaloza, N Potyka
International Conference on Scalable Uncertainty Management, 246-259, 2016
42016
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