Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming

Martin Gebser 1 Carito Guziolowski 2 Mihail Ivanchev 1 Torsten Schaub 1 Anne Siegel 2 Philippe Veber 3 Sven Thiele 1
1 University of Potsdam
2 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
3 IC UM3 (UMR 8104 / U1016) - Institut Cochin
Type de document :
Communication dans un congrès
Principles of Knowledge Representation and Reasoning, 2010, Toronto, Canada. AAAI Press, 2010, Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, KR 2010
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https://hal.inria.fr/inria-00538137
Contributeur : Anne Siegel <>
Soumis le : dimanche 21 novembre 2010 - 18:22:52
Dernière modification le : lundi 11 février 2019 - 16:22:53

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  • HAL Id : inria-00538137, version 1

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INRIA | UNIV-RENNES1 | IRISA | UNIV-PARIS5 | IRISA-D7 | USPC | UR1-UFR-ISTIC | UNIV-RENNES | INSA-GROUPE

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Martin Gebser, Carito Guziolowski, Mihail Ivanchev, Torsten Schaub, Anne Siegel, et al.. Repair and Prediction (under Inconsistency) in Large Biological Networks with Answer Set Programming. Principles of Knowledge Representation and Reasoning, 2010, Toronto, Canada. AAAI Press, 2010, Principles of Knowledge Representation and Reasoning: Proceedings of the Twelfth International Conference, KR 2010. 〈inria-00538137〉

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