Abstract
Multi-Agents System (MAS) and Ontology are two technologies capable of creating intelligent reasoning and inferring new knowledge useful for decision making. In this paper we propose a platform model called Agent-SSSN whose agents reason as a human actor and collaborate with them to create a Collective Intelligence in Economic Intelligence (EI) coordinated network monitoring. To organize the knowledge in Agent-SSSN and facilitate the reasoning ability of the agent, an ontology-based approach called Onto-Agent-SSSN is presented in this paper.
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Chemlal, Y., Medroumi, H. (2020). Ontology-Based Reasoning for Collective Intelligence of Multi-agents System. In: El Moussati, A., Kpalma, K., Ghaouth Belkasmi, M., Saber, M., Guégan, S. (eds) Advances in Smart Technologies Applications and Case Studies. SmartICT 2019. Lecture Notes in Electrical Engineering, vol 684. Springer, Cham. https://doi.org/10.1007/978-3-030-53187-4_41
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DOI: https://doi.org/10.1007/978-3-030-53187-4_41
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