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Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2014 Vol.4(2): 198-203 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2014.V4.412

Multi-Agent Decision-Making Support Model for the Management of Pre-Hospital Emergency Services

Adil Chennaoui and Marc Paquet
Abstract—This article focuses on the theme of modeling and that of decision-making support in complex systems. We are interested more precisely in multi-agent decision-making support models. This work, carried out in collaboration with “Urgences-santé de Québec”, is applied to the design of a decision-making support system dedicated to the management of pre-hospital emergency services. For this system we propose a model based on reactive agents and a generic architecture.

Index Terms—Decision-making support, multi-agent system, planning, pre-hospital emergency services, simulation.

Adil Chennaoui is with the GTI Department, École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal (Québec) H3C 1K3 – Canada (telephone: +1514513-2832; e-mail: adil.chennaoui.1@ ens.etsmtl.ca).
Marc Paquet is with the GPA Department, École de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal (Québec) H3C 1K3 – Canada (telephone: +1 514 396-8800; e-mail: marc.paquet@ ens.etsmtl.ca).

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Cite: Adil Chennaoui and Marc Paquet, "Multi-Agent Decision-Making Support Model for the Management of Pre-Hospital Emergency Services," International Journal of Machine Learning and Computing vol.4, no. 2, pp. 198-203, 2014.

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