DocumentCode :
2308968
Title :
Multi-agent memetic computing for adaptive learning experiences
Author :
Acampora, Giovanni ; Gaeta, Matteo ; Loia, Vincenzo ; Vitiello, Autilia
Author_Institution :
Dept. of Math. & Comput. Sci., Univ. of Salerno, Salerno, Italy
fYear :
2010
fDate :
18-23 July 2010
Firstpage :
1
Lastpage :
8
Abstract :
Learning is a mechanism to acquire new knowledge and to enhance individual skills in industrial and academic environments. In particular, employing learning methods in an industrial context supports the overall business competitiveness in the new economy. Currently, the e-Learning systems provide a simple “digitalization” of the learning process where the focus is on the educational resources, which are only an input of the whole learning process, and on their presentation (delivery). Computational Intelligence methodologies can overcome current learning systems limitations attaining to personalize learning content and activities to specific preferences of the learner and to assist designers with computationally efficient methods to develop “in time” e-Learning environments. This paper shows how to achieve both results exploiting an ontological representation of learning environment and memetic approach of optimization, integrated into a cooperative distributed problem solving framework.
Keywords :
computer aided instruction; evolutionary computation; multi-agent systems; ontologies (artificial intelligence); adaptive learning experiences; computational intelligence; cooperative distributed problem solving framework; e-learning systems; educational resources; multi-agent memetic computing; ontological representation; optimization; Computational modeling; Electronic learning; Genetics; Memetics; Optimization; Program processors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
Conference_Location :
Barcelona
ISSN :
1098-7584
Print_ISBN :
978-1-4244-6919-2
Type :
conf
DOI :
10.1109/FUZZY.2010.5584436
Filename :
5584436
Link To Document :
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