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Theses

Intégration de l'inférence abductive et inductive pour la représentation des connaissances dans les réseaux de gènes

Tan Le 1
1 LAAS-DISCO - Équipe DIagnostic, Supervision et COnduite
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : Diagnostic reasoning (abductive) and predictive reasoning (inductive) are two methods of reasoning that enable the discovery of new knowledge. When abductive reasoning is the process of finding the best explanation (hypothesis) for a set of observations (Josephson, 1994), the inductive reasoning is the process of predicting, from a set of observations, to find all possible results. These observations may be symptoms of a patient, experiments on genomic and metabolic networks, etc. In this PhD thesis, we are interested in the representation, analysis and synthesis of genomic signaling networks using hypothetical logic. In fact, this thesis focuses on modeling of signaling pathways in response to the DNA double stranded break. To implement the abduction, we use algorithms of production. Then, the default logic is used to build models of minimum representation. These algorithms are proven knowledge discovery on the map of DNA double-strand break. This map is minimal as biological causality graph and allows integrating bio-molecular data.
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https://tel.archives-ouvertes.fr/tel-00996894
Contributor : Arlette Evrard <>
Submitted on : Tuesday, May 27, 2014 - 10:32:42 AM
Last modification on : Thursday, June 10, 2021 - 3:06:26 AM
Long-term archiving on: : Wednesday, August 27, 2014 - 11:05:38 AM

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  • HAL Id : tel-00996894, version 1

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Tan Le. Intégration de l'inférence abductive et inductive pour la représentation des connaissances dans les réseaux de gènes. Automatique. Université Paul Sabatier - Toulouse III, 2014. Français. ⟨tel-00996894⟩

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