Configurations for Inference between Causal Statements

Philippe Besnard 1 Marie-Odile Cordier 1 Yves Moinard 1
1 DREAM - Diagnosing, Recommending Actions and Modelling
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : When dealing with a cause, cases involving some effect due to that cause are precious as such cases contribute to what the cause is. They must be reasoned upon if inference about causes is to take place. It thus seems like a good logic for causes would arise from a semantics based on collections of cases, to be called configurations, that gather instances of a given cause yielding some effect(s). Two crucial features of this analysis of causation are transitivity, which is endorsed here, and the event-based formulation, which is given up here in favor of a fact-based approach. A reason is that the logic proposed is ultimately meant to deal with both deduction (given a cause, what is to hold?) and abduction (given the facts, what could be the cause?) thus paving the way to the inference of explanations. The logic developed is shown to enjoy many desirable traits. These traits form a basic kernel which can be modified but which cannot be extended significantly without losing the adequacy with the nature of causation rules.
Type de document :
Communication dans un congrès
Jérôme Lang and Fangzhen Lin and Ju Wang. KSEM 2006 (First Int. Conf. on Knowledge Science, Engineering and Management), 2006, Guilin, China. Springer, pp.292--304, 2006, LNAI
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https://hal.inria.fr/inria-00463796
Contributeur : René Quiniou <>
Soumis le : lundi 15 mars 2010 - 10:33:50
Dernière modification le : mercredi 16 mai 2018 - 11:23:02

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  • HAL Id : inria-00463796, version 1

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Philippe Besnard, Marie-Odile Cordier, Yves Moinard. Configurations for Inference between Causal Statements. Jérôme Lang and Fangzhen Lin and Ju Wang. KSEM 2006 (First Int. Conf. on Knowledge Science, Engineering and Management), 2006, Guilin, China. Springer, pp.292--304, 2006, LNAI. 〈inria-00463796〉

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