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The Next Big Thing(s) in Unsupervised Machine Learning: Five Lessons from Infant Learning

Sep 17, 2020
Lorijn Zaadnoordijk, Tarek R. Besold, Rhodri Cusack

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An Ontology-based Approach to Explaining Artificial Neural Networks

Jun 19, 2019
Roberto Confalonieri, Fermín Moscoso del Prado, Sebastia Agramunt, Daniel Malagarriga, Daniele Faggion, Tillman Weyde, Tarek R. Besold

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The What, the Why, and the How of Artificial Explanations in Automated Decision-Making

Aug 21, 2018
Tarek R. Besold, Sara L. Uckelman

* working draft, comments/feedback welcome 

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Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

Nov 10, 2017
Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha

* 58 pages, work in progress 

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What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

Oct 02, 2017
Derek Doran, Sarah Schulz, Tarek R. Besold

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Reasoning in Non-Probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples

Mar 01, 2017
Tarek R. Besold, Artur d'Avila Garcez, Keith Stenning, Leendert van der Torre, Michiel van Lambalgen

* Forthcoming with DOI 10.1007/s11023-017-9428-3 in the Special Issue "Reasoning with Imperfect Information and Knowledge" of Minds and Machines (2017). The final publication will be available at --- Changes to previous version: Fixed some typos and a broken reference 

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Efficient Dodgson-Score Calculation Using Heuristics and Parallel Computing

Aug 09, 2016
Arne Recknagel, Tarek R. Besold

* Additional references; partially rewritten text for improved readability; minor corrections of typos/language issues etc 

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