MEDA: a multi-expert distributed architecture as a testbed for distributed strategies

Abstract

The multi-expert distributed architecture (MEDA) tests predefined strategies and also builds and evaluates strategies by the automatic learning and self-organization provided by the entities emancipation process (EEP). The testing of strategies, together with the knowledge standardization mechanism provided by the association to the knowledge of additional dimensions within specific universes which grant the expansion of expert knowledge towards a common representation, allows MEDA to constitute a testbed for distributed artificialintelligence (DAI) techniques. The MEDA tool for automatic acquisition and automatic improvement of distributed solving techniques is intended to expand research in DAI toward automatic knowledge discovery.<>