Abstract
The herein proposed research project brings together the area of the multi-agent recommender systems and the IoT and aims to study the extent to which a context-based multi-agent recommender system can contribute to improving efficiency in the evacuation of buildings under a fire emergency, recommending the most adequate and efficient evacuation routes in real time.
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Neto, J., Morais, A.J., Gonçalves, R., Leça Coelho, A. (2019). A Multi-agent System for Recommending Fire Evacuation Routes in Buildings, Based on Context and IoT. In: De La Prieta, F., et al. Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection. PAAMS 2019. Communications in Computer and Information Science, vol 1047. Springer, Cham. https://doi.org/10.1007/978-3-030-24299-2_34
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DOI: https://doi.org/10.1007/978-3-030-24299-2_34
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