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.

  • Islem Henane, Sameh Hadouaj, Khaled Ghédira

    Multi-agent based Modeling of the Tunisian Pastoral Dynamic – Multi-level Organization.

    Proceedings of the 4th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, 254–258., 2012

    Résumé

    astoral systems in arid and semi arid areas are characterized by a continued deterioration. This degradation is the result of the mismanagement of resources in response to natural, economic and social mutations. These systems are considered as complex systems, given the large number of stakeholders in interaction and levels of granularity. To address this situation, analytical and systemic approaches are no longer adequate. In this paper, we propose a multi-agent based model of Tunisian pastoral dynamics taking into account the interaction dynamics of the different stakeholders and the different levels of granularity. The completion of this work is within the scope of the development of the Intelligent Decision Support System PASDES (Pastoral Strategies Definition System). PASDES aims to support pastoral strategic decision making in short and long terms.

  • Islem Henane, Lamjed Ben Said, Sameh Hadouaj, Nasr Ragged

    Multi-agent Based Simulation of Animal Food Selective Behavior in a Pastoral System

    In: Jędrzejowicz, P., Nguyen, N.T., Howlet, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2010. Lecture Notes in Computer Science(), vol 6070. Springer, Berlin, Heidelberg., 2010

    Résumé

    Pastoral systems are considered as complex systems, given the number of entities and the multitude of interactions and levels of granularity. To conduct a study of such system taking into account the interactions and their results, analytical approaches are not adequate. In this paper, we present an agent-based model of the animal behavior in the pastoral system taking into account the selective food aspect. This model has been validated using a multi-agent based simulation implemented on the simulation platform Cormas. The obtained results reflect the importance of this aspect in the animal behavior and its effects on vegetation cover.