Abstract
The African Traditional Medicine (ATM) has been applied over the years in the ethnics of the African continent. The experts of this area have conserved this knowledge by oral transmission. This knowledge varies from one ethnic to other, thus it is distributed among these ethnics. In this context, this work proposes to use a multi-agent system to manage this distributed knowledge. The presented approach uses the Delphi process, in which, there are several agents that represent ATM healers and participate in several rounds of questionnaires in order to reach a consensus for providing a heal to a patient.
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Atemezing, G., García-Magariño, I., Pavón, J. (2009). The Delphi Process Applied to African Traditional Medicine. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_69
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