A case-based reasoning system independant of a representation of cases in terms of features

The main quality that we ascribe to the case-based reasoning is its capacity to resolve a problem even when the application area is badly formalized. The one in which we have interested doesn’t even permit o represent cases per a set of important features. The objective ofour system is finding out an evolution from a given date. Matching between evolutions i realized according toa viewpoint. Wehave hence defined a distributed architecture inwhich each module "reasons per case" according todifferent viewpoints onthe evolution. The first originality of our work is the utilization of the case-based reasoning for this kind of problems. The second one, and the most important, is a case representation independent from the analysis of the important features of the case. This one has naturally consequences for the matching technic.That’s specifically on this point that our approach is related to techniques being utilized by IRS (Information Retrieval System).