Generic model for experimenting and using a family of classifiers systems: description and basic applications

Authors:
Cédric Buche;Pierre De Loor
Affiliations:
UEB, ENIB, LISyC, European center for virtual reality, Plouzané, France;UEB, ENIB, LISyC, European center for virtual reality, Plouzané, France
Venue:
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
Year:
2010

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Abstract

Classifiers systems are tools adapted to learn interactions between autonomous agents and their environments. However, there are many kinds of classifiers systems which differ in subtle technical ways. This article presents a generic model (called GEMEAU) that is common to the major kinds of classifiers systems. GEMEAU was developed for different simple applications which are also described.