A rule-based knowledge system for diagnosis of mental retardation

Abstract

We present in this paper a Rule-Based Knowledge System that both verifies the consistency of the knowledge explicitly provided by experts in mental retardation, and automatically extracts consequences (in this case: diagnoses) from that knowledge. Expert knowledge is translated into symbolic expressions, which are written in CoCoA (a Computer Algebra language). The program, using a theory developed by this research team, outputs diagnoses from the different inputs that describe each patient. © Springer-Verlag Berlin Heidelberg 2004.