MORPHOLOGICAL EXPLANATION IN EXPERT SYSTEMS
Isabelle Alvarez · 1992
Knowledge-based systems are able to provide automatically an explanation of the reasoning, generally with the help of an additional unit. However their abilities are still limited, compared to human natural explanatory capabilities. Human explanation is very rich, depending on several parameters that are not mastered yet. In this paper we present a type of explanation centred not on the reasoning but on the case to explain. It consists in a study of the behaviour of the system for input data slightly different from the initial set. The analyze of the results given by the system allows to define relevant directions relatively to the case to explain, by analogy with the mathematic notion of gradient. These directions can be used to produce explanations, not in a logical nor chronological way, but in a geometrical way. This morphological explanation leads to reconsider how to take into account the user's knowledge and the explanatory semantic of the domain.