Publications

Nico Potyka, Engelbert Mittermeier, and David Marenke. An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version). Journal of Applied Logic, (19):71-86, 2016. [PUMA: imported] URL

Christoph Beierle, Florian Brons, and Nico Potyka. A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics. In Steffen Hölldobler, Markus Krötzsch, Rafael Peñaloza, and Sebastian Rudolph (Eds.), German Conference on Artificial Intelligence (KI), (9324):241-248, Springer, 2015. [PUMA: imported] URL

Rafael Peñaloza, and Nico Potyka. Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version). CoRR, (abs/1706.03207)2017. [PUMA: imported] URL

Nico Potyka. Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report). CoRR, (abs/1809.07133)2018. [PUMA: imported] URL

Nico Potyka. A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor. CoRR, (abs/1811.12787)2018. [PUMA: imported] URL

Nico Potyka, Erman Acar, Matthias Thimm, and Heiner Stuckenschmidt. Group Decision Making via Probabilistic Belief Merging. In Subbarao Kambhampati (Eds.), International Joint Conference on Artificial Intelligence (IJCAI), 3623-3629, IJCAI/AAAI Press, 2016. [PUMA: imported] URL

Nico Potyka. A Polynomial-time Fragment of Epistemic Probabilistic Argumentation. In Edith Elkind, Manuela Veloso, Noa Agmon, and Matthew E. Taylor (Eds.), International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2165-2167, International Foundation for Autonomous Agents and Multiagent Systems, 2019. [PUMA: imported] URL

Nico Potyka, Christoph Beierle, and Gabriele Kern-Isberner. On the Problem of Reversing Relational Inductive Knowledge Representation. In Linda C. van der Gaag (Eds.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), (7958):485-496, Springer, 2013. [PUMA: imported] URL

Rafael Peñaloza, and Nico Potyka. Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy. In Steven Schockaert, and Pierre Senellart (Eds.), International Conference on Scalable Uncertainty Management (SUM), (9858):246-259, Springer, 2016. [PUMA: imported] URL

Nico Potyka, Sylwia Polberg, and Anthony Hunter. Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation. In Gabriele Kern-Isberner, and Zoran Ognjanovic (Eds.), European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU), (11726):74-86, Springer, 2019. [PUMA: imported] URL

Christoph Beierle, Marc Finthammer, Nico Potyka, Julian Varghese, and Gabriele Kern-Isberner. A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic. FLAP, (4)72017. [PUMA: imported] URL

Nico Potyka. Reasoning over Linear Probabilistic Knowledge Bases with Priorities. In Christoph Beierle, and Alex Dekhtyar (Eds.), International Conference on Scalable Uncertainty Management (SUM), (9310):121-136, Springer, 2015. [PUMA: imported] URL

Nico Potyka, and Matthias Thimm. Inconsistency-tolerant reasoning over linear probabilistic knowledge bases. International Journal of Approximate Reasoning, (88):209-236, 2017. [PUMA: imported] URL

Nico Potyka. Extending Modular Semantics for Bipolar Weighted Argumentation. In Edith Elkind, Manuela Veloso, Noa Agmon, and Matthew E. Taylor (Eds.), International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 1722-1730, International Foundation for Autonomous Agents and Multiagent Systems, 2019. [PUMA: imported] URL

Nico Potyka, and Matthias Thimm. Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization. In Torsten Schaub, Gerhard Friedrich, and Barry O'Sullivan (Eds.), European Conference on Artificial Intelligence (ECAI), (263):729-734, IOS Press, 2014. [PUMA: imported] URL

Nico Potyka. Towards a General Framework for Maximum Entropy Reasoning. In G. Michael Youngblood, and Philip M. McCarthy (Eds.), Florida Artificial Intelligence Research Society Conference (FLAIRS), AAAI Press, 2012. [PUMA: imported] URL

Nico Potyka. Linear Programs for Measuring Inconsistency in Probabilistic Logics. In Chitta Baral, Giuseppe De Giacomo, and Thomas Eiter (Eds.), International Conference on Principles of Knowledge Representation and Reasoning (KR), AAAI Press, 2014. [PUMA: imported] URL

Nico Potyka, Christoph Beierle, and Gabriele Kern-Isberner. A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics. Journal of Applied Logic, (13)4:414-440, 2015. [PUMA: imported] URL

Nico Potyka. Relationships Between Semantics for Relational Probabilistic Conditional Logics. In Christoph Beierle, Gerhard Brewka, and Matthias Thimm (Eds.), Computational Models of Rationality, Essays dedicated to Gabriele Kern-Isberner on the occasion of her 60th birthday, 332-347, College Publications, 2016. [PUMA: imported]

Nico Potyka. Measuring Disagreement among Knowledge Bases. In Thomas Lukasiewicz, Rafael Peñaloza, and Anni-Yasmin Turhan (Eds.), Workshop on Logics for Reasoning about Preferences, Uncertainty, and Vagueness (PRUV), (2157)CEUR-WS.org, 2018. [PUMA: imported] URL