Meta-learning practices concern the dynamical search of the bias presiding over the behaviour of artificial learning systems. In this paper we present an original meta-learning framework, namely the MINDFUL (Meta INDuctive neuro-FUzzy Learning) system. MINDFUL is based on a neuro-fuzzy learning strategy providing for the inductive processes applicable both to ordinary base-level tasks and to more general cross-task applications. The peculiar organisation of the system allows a suitable meta-knowledge management, in order to carry on meta-learning investigations and to develop life-long learning strategies.
['Ciro Castiello', 'Giovanna Castellano', 'Anna Maria Fanelli']
Exploring the way for meta-learning with the MINDFUL system