CPEC

Center for Perspicuous Computing

Research group

People

Contact Raimund Dachselt
https://perspicuous-computing.science/
January 1, 2019 – December 31, 2022
funded by DFG

The Transregional Collaborative Research Centre 248 Center for Perspicuous Computing (CPEC) aims at enabling comprehension in a cyber-physical world with the human in the loop.

From autonomous vehicles to Industry 4.0, from smart homes to smart cities – increasingly computer programs participate in actions and decisions that affect humans. However, our understanding of how these applications interact and what is the cause of a specific automated decision is lagging far behind. With the increase in cyber-physical technology impacting our lives, the consequences of this gradual loss in understanding are becoming severe. Systems lack support for making their behaviour plausible to their users. And even for technology experts it is nowadays virtually impossible to provide scientifically well-founded answers to questions about the exact reasons that lead to a particular decision, or about the responsibility for a malfunctioning. The root cause of the problem is that contemporary systems do not have any built-in concepts to explicate their behaviour. They calculate and propagate outcomes of computations, but are not designed to provide explanations. They are not perspicuous.

The key to enable comprehension in a cyber-physical world is a science of perspicuous computing, and it is the overarching goal of CPEC to develop the necessary tools and methods to support this. To this end, CPEC brings together researchers from formal methods, artificial intelligence, and human-computer interaction in a closely connected consortium of researchers from TU Dresden, Saarland University, and selected partners at two Max-Planck Institutes and the University of Tübingen.

Journal Articles

Hannes Strass, Adam Zachary Wyner, Martin Diller
EMIL: Extracting Meaning from Inconsistent Language: Towards argumentation using a controlled natural language interface
International Journal of Approximate Reasoning, 112:55-84, 2019
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Proceedings Articles

Markus Krötzsch, Maximilian Marx, Sebastian Rudolph
The Power of the Terminating Chase
In Pablo Barceló, Marco Calautti, eds., Proceedings of the 22nd International Conference on Database Theory (ICDT 2019), volume 127 of LIPIcs, 3:1--3:17, 2019. Schloss Dagstuhl - Leibniz-Zentrum für Informatik
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Martin Diller, Adam Zachary Wyner, Hannes Strass
Making Sense of Conflicting (Defeasible) Rules in the Controlled Natural Language ACE: Design of a System with Support for Existential Quantification Using Skolemization
Proceedings of the 13th International Conference on Computational Semantics, 32-37, 2019. Association for Computational Linguistics
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David Carral, Irina Dragoste, Markus Krötzsch
The Combined Approach to Query Answering in Horn-ALCHOIQ (Extended Abstract)
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32nd International Workshop on Description Logics, volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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David Carral, Larry González, Patrick Koopmann
From Horn-SRIQ to Datalog: A Data-Independent Transformation that Preserves Assertion Entailment
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32st International Workshop on Description Logics (DL 2018), volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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David Carral, Irina Dragoste, Markus Krötzsch
Chasing Sets: How to Use Existential Rules for Expressive Reasoning (Extended Abstract)
In Mantas Simkus, Grant E. Weddell, eds., Proceedings of the 32nd International Workshop on Description Logics, volume 2373 of CEUR Workshop Proceedings, June 2019. CEUR-WS.org
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Markus Krötzsch
Too Much Information: Can AI Cope With Modern Knowledge Graphs?
In Diana Cristea, Florence Le Ber, Baris Sertkaya, eds., Proceedings of the 15th International Conference on Formal Concept Analysis (ICFCA 2019), volume 11511 of LNCS, 17--31, 2019. Springer
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David Carral, Irina Dragoste, Larry González, Ceriel Jacobs, Markus Krötzsch, Jacopo Urbani
VLog: A Rule Engine for Knowledge Graphs
In Chiara Ghidini, Olaf Hartig, Maria Maleshkova, Vojtěch Svátek, Isabel Cruz, Aidan Hogan, Jie Song, Maxime Lefrançois, Fabien Gandon, eds., Proceedings of the 18th International Semantic Web Conference (ISWC'19), LNCS, October 2019. Springer
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