The Delphi Process Applied to African Traditional Medicine

  • Ghislain Atemezing
  • Iván García-Magariño
  • Juan Pavón
Conference paper

DOI: 10.1007/978-3-642-02478-8_69

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5517)
Cite this paper as:
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

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.

Keywords

Traditional Medicine Case-Based Reasoning language multi-agent system Delphi Process 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Ghislain Atemezing
    • 1
  • Iván García-Magariño
    • 1
  • Juan Pavón
    • 1
  1. 1.Dept. Software Engineering and Artificial Intelligence Facultad de InformáticaUniversidad Complutense de MadridSpain

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