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1 LIMICS - Laboratoire d-Informatique Médicale et Ingénierie des Connaissances en e-Santé 2 Laboratoire d-Informatique - Agrocampus Ouest 3 DREAM - Diagnosing, Recommending Actions and Modelling Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE

Abstract : Cognitive map is a qualitative decision model which is frequently used in social science and decision making applications. This model allows to easily organize individuals’ judgments, thinking or beliefs about a given problem in a graphical representation containing different concepts and influences between them. However, reasoning on this model presents some limits and remains a difficult task. For example, cognitive maps donot model uncertainty within the variables, and only deductive reasoning predicting an effect given a cause is possible. In this paper, we show how to translate the knowledge represented in cognitive maps in the form of arguments and attack relations among them. In particular, given a decision problem, a cognitive map was first built by eliciting knowledge from experts and then transforming it in a weighted argumentation framework WAFfor short for ensuring efficient reasoning. Another contribution of this paper concerns enriching the WAF obtained from a given cognitive map for dealing with dynamics through the consideration of a varying set of observations.

Keywords : Cognitive maps weighted argumentation framework observations active arguments





Autor: Karima Sedki - Louis Bonneau de Beaufort -

Fuente: https://hal.archives-ouvertes.fr/



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