COMBINING MULTI-AGENT PARADIGM AND MEMETIC COMPUTING FOR PERSONALIZED AND ADAPTIVE LEARNING EXPERIENCES-Reference-Cited by-同舟云学术

COMBINING MULTI-AGENT PARADIGM AND MEMETIC COMPUTING FOR PERSONALIZED AND ADAPTIVE LEARNING EXPERIENCES

Published:2011-05 Issue:2 Volume:27 Page:141-165
ISSN:0824-7935
Container-title:Computational Intelligence
language:en
Short-container-title:

Author:

Acampora Giovanni,Gaeta Matteo,Loia Vincenzo

Publisher

Wiley

Subject

Artificial Intelligence,Computational Mathematics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1467-8640.2010.00367.x/fullpdf

Reference49 articles.

1. Hierarchical optimization of personalized experiences for e-Learning systems through evolutionary models;Acampora;Neural Computing & Applications,2009

2. Optimizing learning path selection through memetic algorithms

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4. Testing hypotheses in the functional linear model;Albano;Scandinavian Journal of Statistics,2007

5. Integrating e-learning environments with computational intelligence assessment agents;Alexakos;Proceedings of World Academy of Science, Engineering and Technology,2006

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