Automatic Knowledge Acquisition for Object-Oriented Expert Systems

ABSTRACT We describe an Object Oriented Model for building Expert Systems. This model and the detection of similarities allow to implement reasoning modes as induction, deduction and simulation. We specially focus on similarity and its use in induction. We propose original algorithms which deal with total and partial structural similitude of objects to facilitate knowledge acquisition. Keywords: Knowledge acquisition, object oriented model, structural similarity, induction. Colloc, J. & Boulanger, D. Automatic knowledge acquisition for object oriented expert systems AVIGNON'93, 13th International Conference Artificial Intelligence, Expert Systems, Natural Language, 1993, 99-108 (Preprint version) 1. INTRODUCTION This paper proposes an object oriented model for building expert systems. While this model enhances the knowledge modularity, it supports some other reasoning modes than traditional deduction. First, we present the characteristics of our object oriented model (COLL 89), then we highlight the features used to implement reasoning and allow knowledge acquisition.