Qualitative modelling to prospect expert's reasoning

Authors:
Kamal Kansou;Guy Della Valle;Amadou Ndiaye
Affiliations:
INRA, UMR927 Sciences du Bois et des Biopolymères, CNRS, INRA, Université Bordeaux 1, F-33405 Talence, France and INRA, UR1268 Biopolymères Interactions Assemblages (BIA), F-44300 N ...;INRA, UR1268 Biopolymères Interactions Assemblages (BIA), F-44300 Nantes, France;INRA, UMR927 Sciences du Bois et des Biopolymères, CNRS, INRA, Université Bordeaux 1, F-33405 Talence, France
Venue:
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
Year:
2008

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Abstract

In this paper we present a functional representation of human expert reasoning throughout its statements when assessing the condition of a given object. The human expert statements are represented as conjunctions of elementary propositions. We demonstrate that the conjunctions of elementary propositions can be represented as qualitative additions of qualitative functions in the Q-algebra (Q, ≈,, $\otimes$). We validate our functional representation by formalizing a representative human expert reasoning: assessment of dough condition in function with the ingredients characteristics.