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Oussama Kebir

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Oussama Kebir
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Publications

  • 2020
    Oussama Kebir, Issam Nouaouri, Mouna Belhaj, Lamjed Ben Said, Kamel Akrout

    A multi-agent model for countering terrorism

    In Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques (pp. 260-271). IOS Press., 2020

    Résumé

    The rise of terrorism over the past decade did not only hinder the development of some countries, but also it continues to destroy humanity. To face this concept of an emerging crisis, every country and every citizen is responsible for the fight against terrorism. As conventional plans became useless against terrorism, governments are required to establish innovative concepts and technologies to support units in this asymmetric war. In this paper, we propose a new multi-agent model for
    counter-terrorism characterized by a methodical process and a flexibility to handle different contingency scenarios. The division of labour in our multi-agent model improves decision making and the structuring of organisational plans.

    Oussama Kebir, Issam Nouaouri, Mouna Belhaj, Lamjed Ben Said, Kamel Akrout

    A multi-agent architecture for modeling organizational planning against terrorist attacks in urban areas

    2020 International Multi-Conference on: “Organization of Knowledge and Advanced Technologies” (OCTA), Tunis, Tunisia, 2020, pp. 1-8, doi: 10.1109/OCTA49274.2020.9151843., 2020

    Résumé

    Nowadays the world is suffering from the emergence of a new concept of war, it is the asymmetric warfare created by the terrorists' new combat doctrine. As the plans to face classic enemies have become unusual against terrorism, this calls for innovative concepts and technologies to support the units and to improve the capability of leaders and structure their choices. In this paper, we propose a multi agent architecture for action planning against terrorist attacks. It is characterized by rapid decisive responses and methodical steps to handle the situation, and by the flexibility to adapt a contingency scenario. We aim to create a multi-agent model that describes the relation between actors during the terrorist attack in order to find the best possible units distribution to neutralize the enemy.