Approximate Reasoning in Multi-Agent Systems : the ATOMIC Model
Identifieur interne : 001413 ( Crin/Curation ); précédent : 001412; suivant : 001414Approximate Reasoning in Multi-Agent Systems : the ATOMIC Model
Auteurs : N. Doggaz ; J.-P. HatonSource :
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Abstract
In this paper we consider the problem of dealing with uncertainty and imprecision in multi-knowledge based expert systems and more precisely in the blackboard tool ATOME (Another TOol for Multi-Expert systems) that was developed by our group. We first briefly present the ATOME system and its control knowledge sources and blackboards. Then we introduce the theory that was chosen to represent uncertainty and imprecision in ATOME, i.e. the possibility theory. We then discuss how to take into account the uncertainty and the imprecision in knowledge sources. We point out the difference between the significant coefficient of the rules and their degree of compatibility. Finally, we present the inference engine available in specialist knowledge sources and the combination of uncertain and imprecise information.
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