The Delphi Process Applied to African Traditional Medicine

Authors:
Ghislain Atemezing;Iván García-Magariño;Juan Pavón
Affiliations:
Dept. Software Engineering and Artificial Intelligence Facultad de Informática, Universidad Complutense de Madrid, Spain;Dept. Software Engineering and Artificial Intelligence Facultad de Informática, Universidad Complutense de Madrid, Spain;Dept. Software Engineering and Artificial Intelligence Facultad de Informática, Universidad Complutense de Madrid, Spain
Venue:
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Year:
2009

Citing 7
Cited 1

A Delphi approach to acquiring knowledge from single and multiple experts

SIGBDP '90 Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems
Knowledge manipulation activities: results of a Delphi study

Information and Management
Intelligent environment for monitoring Alzheimer patients, agent technology for health care

Decision Support Systems
INGENIAS development kit: a visual multi-agent system development environment

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
A multi-agent based implementation of a Delphi process

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care

Expert Systems with Applications: An International Journal
Agent oriented software engineering with INGENIAS

CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems

Conceptual graph-based knowledge representation for supporting reasoning in African traditional medicine

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

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.