Shili Mohamed

Work place: Institute of Applied Science and Technology of Sousse, Tunisia



Research Interests: Artificial Intelligence


Shili Mohamed is an Editor. He obtained his Magister diploma in 2015 in the computer science department, Sousse University. He is interested to mobile commerce, M-commerce, artificial intelligence, and M-learning techniques.

Author Articles
AMMAS: Ambient Mobile Multi-Agents System: Simulation of the M-Learning

By Shili Mohamed Moez Chebbi Santosh Kumar Behera

DOI:, Pub. Date: 8 Jan. 2017

Recent years have witnessed the increase of the field of mobile learning, fostered by the continuous development of mobile computing and wireless technology, today the mobile learning presents a fundamental approach to satisfy our daily needs and requirements. Specifically, in this work, we aim to study as model and simulate the ambient mobile system which is based on intelligent agents. The mobile agent is not based on the traditional client server however it is based on the distributed ones. The present article proposes a mobile intelligent agent based architecture for the M-Learning that aims to facilitate the teacher and student acquisition. M-Learning is a new research area which became a principal tool for our education system. So we produced an adapted agent based approach for an efficient flexible.
In our work we proceed as follows: first, we introduce the scope and the genesis of our research, second, we hold out the m-learning is the next generation of e-learning, afterwards, we present our AMMAS (Ambient Mobile Multi-Agents System) model for the M-Learning and an overview of the system implementation, and finally we conclude our work and give some perspectives.

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