A MULTI-AGENT ARCHITECTURE FOR MOBILE SELF-TRAINING

M. Ennaji, H. Boukachour, P. Gravé

2006

Abstract

This article is the result of an interdisciplinary meeting between sociologists and didacticiens on the one hand and data processing specialists on the other hand. To develop the theoretical and methodological principles of the design of a training environment, by putting the needs and the difficulties of the student at the center of the design process and data-processing modeling, constitutes the common action of these two research laboratories within the framework of this collaboration. To design a virtual tutor called “teaching agent” in a system of remote formation implies the implementation of a flexible and adaptive system. We propose an multi-agent multi-layer architecture able to initiate the training and to manage a teaching and an individualized follow-up.

Paper Citation

in Harvard Style

Ennaji M., Boukachour H. and Gravé P. (2006). A MULTI-AGENT ARCHITECTURE FOR MOBILE SELF-TRAINING . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 343-350. DOI: 10.5220/0002461003430350

in Bibtex Style

@conference{iceis06,
author={M. Ennaji and H. Boukachour and P. Gravé},
title={A MULTI-AGENT ARCHITECTURE FOR MOBILE SELF-TRAINING},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={343-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002461003430350},
isbn={978-972-8865-42-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A MULTI-AGENT ARCHITECTURE FOR MOBILE SELF-TRAINING
SN - 978-972-8865-42-9
AU - Ennaji M.
AU - Boukachour H.
AU - Gravé P.
PY - 2006
SP - 343
EP - 350
DO - 10.5220/0002461003430350