smart.lab.tunisia@gmail.com +216 71 588 443
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Islem Henane

Informations générales

Islem Henane
Grade

PES

Biographie courte

Hènane Islem is a teaching assistant at the Carthage University (FSB-Campus). She received the B.Sc. degree in computer science with management from the University of Tunis (ISG-Campus), Tunis, Tunisia, in 2006, the M.Sc. and Ph.D. degrees in computer science from the University of Manouba (ENSI-Campus) in 2018. She is a member of the SMART Laboratory. Her research interests focus on complex systems, multi-agent modeling and simulation, decision support system, multi-criteria decision-making, and renewable resources management.

Axes de recherche

Artificial Intelligence
Multi Agent System
Simulation

Publications

  • 2016
    Islem Henane, Sameh Hadouaj, Khaled Ghédira, Ali Ferchichi

    Modeling Organizational and Institutional Aspects in Renewable and Natural Resources Management Context

    In: Baldoni, M., Chopra, A., Son, T., Hirayama, K., Torroni, P. (eds) PRIMA 2016: Principles and Practice of Multi-Agent Systems. PRIMA 2016. Lecture Notes in Computer Science(), vol 9862. Springer, Cham, 2016

    Résumé

    Since 1990, there has been a striking increase in using multi-agent systems to study renewable resources management systems. The ultimate objective is to contribute to decisions support on resources management. The adopted strategic decisions are always joined with access to resources norms. However, the defined norms are statics and suppose that all agents are not autonomous and always obey to the underlying norms which do not reflect reality. In previous work, we proposed ML-MA , a multi-level multi-agent architecture to support renewable resources management systems modeling. In this work, we focus on the integration of normative aspects in our architecture. Our approach is illustrated using “Ouled Chehida” case study from Tunisian pastoral context.

  • Islem Henane, Sameh Hadouaj, Khaled Ghédira, Ali Ferchichi

    Towards a generic approach for multi-level modeling of renewable resources management systems

    Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems, 1471–1472. Presented at the Paris, France. Richland, SC: International Foundation for Autonomous Agents and Multiagent Systems., 2014

    Résumé

    Multi-agent systems are widely used in renewable and natural resources management. Multi-agent systems are able to manage the complexity of such systems characterized by a large number of interacting entities with different levels of granularity and including dynamics of different contexts (ecological, economic, social). In this work, we propose a generic multi-level architecture for renewable and natural resources management.