2009 20th International Workshop on Database and Expert Systems Application Use and Modeling of Multi-agent Systems in Medicine Linz, Austria August 31-September 04 ISBN: 978-0-7695-3763-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2009.7
Multi-Agent System (MAS), and more specifically, ontology-based MAS, are increasingly being proposed and used within the medical domain. In this paper we represent an ontology-based multi-agent system specifically designed to intelligently retrieve information about human diseases. The human disease ontology is organized according to the four dimensions: disease types, symptoms, causes and treatments. The multi-agent system consists of four different types of agent: Interface, Manger, Information and Smart agent. We use of UML 2.1 to model social and goal-driven nature of agents. We believe that UML 2.1 has not only provided a way for standardized notation of MAS, but also for effective representation of the dynamic processes associated with these MAS.
Index Terms:
UML, modeling of multi-agent systems, ontology-based multi-agent systems, information retrieval
Citation:
Maja Hadzic, Darshan Dillon, Tharam Dillon, "Use and Modeling of Multi-agent Systems in Medicine," dexa, pp.303-307, 2009 20th International Workshop on Database and Expert Systems Application, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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