%0 Book Section
%A Winkelbauer, L.
%A Fedra, K.
%B Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application
%C Piscataway, NJ, United States
%D 1991
%F iiasa:13612
%I IEEE
%P 59-62
%R doi:10.1109/CAIA.1991.120846
%T ALEX: automatic learning in expert systems
%U https://pure.iiasa.ac.at/id/eprint/13612/
%V i
%X An environment for automatic learning (ALEX) has been designed and implemented in a modular fashion. The system consists of an example generation module (i.e., tutor software system representing the application domain); the learning subsystem; an analysis component; and the user interface and control structure integrating these components. As the core of the learning subsystem the incremental learning algorithm ID-H has been developed, based on the incremental application of hybrid clustering. To improve the overall performance of the learning environment, a feedback loop between the results of a learning step and the input of the next learning step has been introduced. The learning environment can automatically direct its learning strategy according to its assessment of its performance