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

Cédric Buche (1) , Pierre de Loor (2)

1 LISYC - Laboratoire d'Informatique des Systèmes Complexes
2 Lab-STICC_ENIB_CID_IHSEV

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.

Domaines: Informatique

Cédric Buche, Pierre de Loor. Generic model for experimenting and using a family of classifiers systems: description and basic applications.. International Conference on Artificial Intelligence and Soft Computing (ICAISC'10), 2010, Poland. pp.299-306, ⟨10.1007/978-3-642-13208-7_38⟩. ⟨hal-00610869⟩