DocumentCode
453858
Title
Hybrid Systems for Meta-Learning (Part I): Epistemological Concerns
Author
Castiello, Ciro ; Fanelli, Anna Maria
Author_Institution
Dipt. di Informatica, Univ. degli Studi di Bari
Volume
1
fYear
2005
fDate
28-30 Nov. 2005
Firstpage
180
Lastpage
185
Abstract
The connection between conceptual theories of knowledge and mathematical models of intellect is essential to expedite progress toward understanding the fundamental limitations of current mind representations. This kind of remarks find special motivations when applied in the research field of artificial learning system development. The basic issue regarding the emulation of human capabilities, in fact, exceeds the scope of computer science investigation. In this paper we investigate the application feasibility of hybrid systems in meta-learning contexts from an epistemological perspective. Our analysis is finalised to the definition of a meta-learning framework (the MINDFUL system), whose introductory presentation is reported in the article
Keywords
fuzzy neural nets; fuzzy reasoning; knowledge based systems; learning (artificial intelligence); nonmonotonic reasoning; MINDFUL system; artificial learning system development; conceptual knowledge theory; epistemological concern; human mind representation; hybrid system; mathematical model; meta-inductive neuro-fuzzy learning system; meta-learning framework; Application software; Artificial intelligence; Computational modeling; Computer science; Emulation; Humans; Learning systems; Mathematical model; Power system modeling; Proposals;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CIMCA.2005.1631262
Filename
1631262
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