Nico Potyka

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Non-flat ABA Is an Instance of Bipolar Argumentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Syntactic reasoning with conditional probabilities in deductive argumentation.

[BibT_eX]

[DOI]

Artif. Intell., August, 2023

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation [Technical Report].

[BibT_eX]

[DOI]

Hamed Ayoobi

CoRR, 2023

Understanding ProbLog as Probabilistic Argumentation.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 39th International Conference on Logic Programming, 2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2023

Non-flat ABA is an Instance of Bipolar Argumentation.

[BibT_eX]

[DOI]

Markus Ulbricht

CoRR, 2023

Towards Statistical Reasoning with Ontology Embeddings.

[BibT_eX]

[DOI]

Proceedings of the ISWC 2023 Posters, 2023

SpArX: Sparse Argumentative Explanations for Neural Networks.

[BibT_eX]

[DOI]

Hamed Ayoobi

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Explaining Random Forests Using Bipolar Argumentation and Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Explaining Random Forests using Bipolar Argumentation and Markov Networks (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2022

Towards a Theory of Faithfulness: Faithful Explanations of Differentiable Classifiers over Continuous Data.

[BibT_eX]

[DOI]

CoRR, 2022

Box Embeddings for the Description Logic EL++.

[BibT_eX]

[DOI]

CoRR, 2022

Faithful Embeddings for Eℒ++ Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Semantic Web - ISWC 2022, 2022

Pseudo-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Interpretable Machine Learning with Gradual Argumentation Frameworks.

[BibT_eX]

[DOI]

Jonathan Spieler

Steffen Staab

Proceedings of the Computational Models of Argument, 2022

On the Tradeoff Between Correctness and Completeness in Argumentative Explainable AI.

[BibT_eX]

[DOI]

Proceedings of the 1st International Workshop on Argumentation for eXplainable AI co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022

Learning Gradual Argumentation Frameworks using Meta-heuristics.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Argumentation & Machine Learning co-located with 9th International Conference on Computational Models of Argument (COMMA 2022), 2022

Attractor - A Java Library for Gradual Bipolar Argumentation.

[BibT_eX]

[DOI]

Proceedings of the Computational Models of Argument, 2022

2021

Learning Gradual Argumentation Frameworks using Genetic Algorithms.

[BibT_eX]

[DOI]

Jonathan Spieler

Steffen Staab

CoRR, 2021

Semi-Riemannian Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

From Probabilistic Programming to Probabilistic Argumentation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Logic Programming 2021 Workshops co-located with the 37th International Conference on Logic Programming (ICLP 2021), 2021

Generalizing Complete Semantics to Bipolar Argumentation Frameworks.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

Interpreting Neural Networks as Quantitative Argumentation Frameworks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Interpreting Neural Networks as Gradual Argumentation Frameworks (Including Proof Appendix).

[BibT_eX]

[DOI]

CoRR, 2020

Explainable Automated Reasoning in Law using Probabilistic Epistemic Argumentation.

[BibT_eX]

[DOI]

Inga Ibs

CoRR, 2020

Bipolar Abstract Argumentation with Dual Attacks and Supports.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

Foundations for Solving Classification Problems with Quantitative Abstract Argumentation.

[BibT_eX]

[DOI]

Proceedings of the First International Workshop on Explainable and Interpretable Machine Learning (XI-ML 2020) co-located with the 43rd German Conference on Artificial Intelligence (KI 2020), 2020

Abstract Argumentation with Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

A polynomial-time fragment of epistemic probabilistic argumentation.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Delegated updates in epistemic graphs for opponent modelling.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2019

Polynomial-time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2019

Open-Mindedness of Gradual Argumentation Semantics.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Extending Modular Semantics for Bipolar Weighted Argumentation (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the KI 2019: Advances in Artificial Intelligence, 2019

Polynomial-Time Updates of Epistemic States in a Fragment of Probabilistic Epistemic Argumentation.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2019

Extending Modular Semantics for Bipolar Weighted Argumentation.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

A Tutorial for Weighted Bipolar Argumentation with Continuous Dynamical Systems and the Java Library Attractor.

[BibT_eX]

[DOI]

CoRR, 2018

A Polynomial-time Fragment of Epistemic Probabilistic Argumentation (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2018

Convergence and Open-Mindedness of Discrete and Continuous Semantics for Bipolar Weighted Argumentation (Technical Report).

[BibT_eX]

[DOI]

CoRR, 2018

Measuring Disagreement Among Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Continuous Dynamical Systems for Weighted Bipolar Argumentation.

[BibT_eX]

[DOI]

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Updating Belief in Arguments in Epistemic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

2017

Inconsistency-tolerant reasoning over linear probabilistic knowledge bases.

[BibT_eX]

[DOI]

Int. J. Approx. Reason., 2017

A Framework for Versatile Knowledge and Belief Management Operations in a Probabilistic Conditional Logic.

[BibT_eX]

[DOI]

FLAP, 2017

Towards Statistical Reasoning in Description Logics over Finite Domains (Full Version).

[BibT_eX]

[DOI]

CoRR, 2017

Towards Statistical Reasoning in Description Logics over Finite Domains.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Updating Probabilistic Epistemic States in Persuasion Dialogues.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

2016

Solving Reasoning Problems for Probabilistic Conditional Logics with Consistent and Inconsistent Information.

[BibT_eX]

[DOI]

PhD thesis, 2016

An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version).

[BibT_eX]

[DOI]

Engelbert Mittermeier

David Marenke

J. Appl. Log., 2016

Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy (Full Version).

[BibT_eX]

[DOI]

CoRR, 2016

Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 10th International Conference, 2016

Group Decision Making via Probabilistic Belief Merging.

[BibT_eX]

[DOI]

Erman Acar

Heiner Stuckenschmidt

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Relationships Between Semantics for Relational Probabilistic Conditional Logics.

[BibT_eX]

Proceedings of the Computational Models of Rationality, 2016

Towards a Computational Framework for Function-Driven Concept Invention.

[BibT_eX]

[DOI]

Danny Gómez-Ramírez

Kai-Uwe Kühnberger

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016

2015

Extending and Completing Probabilistic Knowledge and Beliefs Without Bias.

[BibT_eX]

[DOI]

Marc Finthammer

Künstliche Intell., 2015

A concept for the evolution of relational probabilistic belief states and the computation of their changes under optimum entropy semantics.

[BibT_eX]

[DOI]

J. Appl. Log., 2015

Reasoning over Linear Probabilistic Knowledge Bases with Priorities.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 9th International Conference, 2015

A Software System Using a SAT Solver for Reasoning Under Complete, Stable, Preferred, and Grounded Argumentation Semantics.

[BibT_eX]

[DOI]

Florian Brons

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Probabilistic Reasoning with Inconsistent Beliefs Using Inconsistency Measures.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Towards Lifted Inference Under Maximum Entropy for Probabilistic Relational FO-PCL Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014

Linear Programs for Measuring Inconsistency in Probabilistic Logics.

[BibT_eX]

[DOI]

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fourteenth International Conference, 2014

Consolidation of Probabilistic Knowledge Bases by Inconsistency Minimization.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Changes of Relational Probabilistic Belief States and Their Computation under Optimum Entropy Semantics.

[BibT_eX]

[DOI]

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

Some Notes on the Factorization of Probabilistic Logical Models under Maximum Entropy Semantics.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference, 2013

On the Problem of Reversing Relational Inductive Knowledge Representation.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

A Case Study on the Application of Probabilistic Conditional Modelling and Reasoning to Clinical Patient Data in Neurosurgery.

[BibT_eX]

[DOI]

Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Using probabilistic logic and the principle of maximum entropy for the analysis of clinical brain tumor data.

[BibT_eX]

[DOI]

Julian Varghese

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012

An Approach to Learning Relational Probabilistic FO-PCL Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Towards a General Framework for Maximum Entropy Reasoning.

[BibT_eX]

[DOI]