Toward a Multi-Strategy and Cooperative Discovery System

Ning Zhong, Setsuo Ohsuga

We have been developing a methodology/system called GLS (Global Learning Scheme) for knowledge discovery in databases. The development of GLS has two main aspects. The first is to develop a multi-strategy system. That is, many kinds of discovery/learning methods are cooperatively used in multiple learning phases for performing multi-aspect intelligent data analysis as well as multi-level conceptual abstraction and learning. As a multi-strategy system, GLS is implemented as a toolkit composed of several sub-systems and optional parts with a multi-level structure. We have finished main parts belonging to this aspect, and have undertaken another aspect, i.e., extending GLS into a multi-agent, distributed and cooperative discovery system. We try to increase versatility and autonomy of GLS by multi-strategy and distributed cooperation, This paper briefly discusses these two aspects of GLS.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.