Abstract

Machine learning techniques are often used for supporting a knowledge engineer in constructing a model of part of the world. Different learning algorithms contribute to different tasks within the modeling process. Integrating several learning algorithms into one system allows it to support several modeling tasks within the same framework. In this paper, we focus on the distribution of work between several learning algorithms on the one hand and the user on the other hand. The approach followed by the MOBAL system is that of balanced cooperation, i.e. each modeling task can be done by the user or by a learning tool of the system. The MOBAL system is described in detail. We discuss the principle of multi-functionality of one representation for the balanced use by learning algorithms and users. Key words: multistrategy learning, balanced cooperative modeling, MOBAL 1 Introduction The overall task of knowledge acquisition as well as the one of machine learning has often been described a...

Citations