Hybrid Systems for Meta-Learning (Part II): the MINDFUL System

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 conn...

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Bibliographic Details
Main Authors: Castiello, C., Fanelli, A.M.
Format: Conference Proceeding
Language:English
Subjects:
Artificial intelligence
Computational intelligence
Computational modeling
Employment
Fuzzy logic
Fuzzy systems
Guidelines
Humans
Knowledge management
Learning
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Summary: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
DOI:10.1109/CIMCA.2005.1631306