Title :
Hybrid Systems for Meta-Learning (Part II): the MINDFUL System
Author :
Castiello, Ciro ; Fanelli, Anna Maria
Author_Institution :
Dipt. di Informatica, Univ. degli Studi di Bari
Abstract :
For pt. I see ibid., (2005). In this paper we investigate the application feasibilities of hybrid systems in meta-learning contexts with a practical perspective. In particular, we present the MINDFUL system, which represents a particular framework for meta-learning founded on the integration of connectionist paradigms and fuzzy knowledge management. The peculiar organisation of the system allows to exploit it on different levels of application, being able to employ the accumulated learning experience in cross-task contexts. The evaluation of MINDFUL is detailed through a set of experimental sessions
Keywords :
fuzzy logic; fuzzy neural nets; fuzzy systems; knowledge acquisition; learning by example; learning systems; MINDFUL system; connectionist paradigm; cross-task context; fuzzy knowledge management; hybrid system; meta-inductive neuro-fuzzy learning system; Artificial intelligence; Computational intelligence; Computational modeling; Employment; Fuzzy logic; Fuzzy systems; Guidelines; Humans; Knowledge management; Learning;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631306
