Using artificial intelligence techniques for intelligent simulation in memory re-education

Abstract

The increasing complexity of new applications has made it necessary to have tools offering a large spectrum of functionalities and several paradigms. This is especially true for intelligent tutoring systems which need (meta)rule based inference for adaptive teaching strategies, object oriented paradigm for learner modeling, graphic simulation tools and large data management facilities for storing lessons and results. The carrying out of such tools, where several software cooperate, should take into account the development of user-friendly environments. This paper describes an intelligent rehabilitation system used for people suffering from memory troubles. It is aimed at simulating everyday “ecological” situations by means of graphical scenes: patients are then asked to realize specific actions on the displayed objects such as preparing breakfast according to dynamically predefined scenarii. The construction of such a system needs to use intelligent tools, which are able to substitute neuropsychologists in the re-education phase. Our solution consists of combining Artificial Intelligence tools and Simulation ones. The system articulates around an expert system generator and an interactive graphical simulation package. The detailed architecture and the working of the system are described here.