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 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
Liste complète des métadonnées
https://hal.inria.fr/inria-00538137
Contributeur : Anne Siegel <>
Soumis le : dimanche 21 novembre 2010 - 18:22:52
Dernière modification le : vendredi 16 novembre 2018 - 01:21:47

Identifiants

  • HAL Id : inria-00538137, version 1

Collections

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

Citation

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〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

394

Contact


archive-ouverte@inria.fr