Reasoning with Multiple Points of View: A Case Study

Philippe Bouché , Cecilia Zanni-Merk (1) , Nathalie Gartiser (1) , Dominique Renaud , Francois Rousselot (1, 2)

1 LGeco - Laboratoire de Génie de la Conception
2 LSIIT - Laboratoire des Sciences de l'Image, de l'Informatique et de la Télédétection

This article presents our approach to reasoning with diversified and voluminous knowledge sources that can be, eventually, contradictory. In fact, knowledge sources coming from management sciences are inherently rich and, sometimes, contradictory. Our choice is to keep the whole of this diversity to improve business advice to SMEs.

Domaines: Intelligence artificielle [cs.AI]; Ingénierie assistée par ordinateur

Philippe Bouché, Cecilia Zanni-Merk, Nathalie Gartiser, Dominique Renaud, Francois Rousselot. Reasoning with Multiple Points of View: A Case Study. 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Sep 2010, Cardiff, United Kingdom. pp.32-40. ⟨hal-00528650⟩