Use and modeling of multi-agent systems in medicine

Hadzic,  Maja; Dillon, Darshan; Dillon, Tharam S.

doi:10.1109/DEXA.2009.7

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Access Status

Open access

Authors

Hadzic, Maja

Dillon, Darshan

Dillon, Tharam S.

Date

2009

Type

Conference Paper

Metadata

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Citation

Hadzic, Maja and Dillon, Darshan and Dillon, Tharam. 2009. Use and modeling of multi-agent systems in medicine, in Tjoa, A. M. and Wagner, R. R. (ed), 20th International Conference on Database and Expert Systems Applications (DEXA 2009), Aug 31 2009, pp. 303-307.Linz, Austria: IEEE Computer Society.

Source Title

Proceedings of the 20th International Conference on Database and Expert Systems Applications (DEXA 2009)

Source Conference

20th International Conference on Database and Expert Systems Applications (DEXA 2009)

DOI

10.1109/DEXA.2009.7

ISBN

9780769537634

Faculty

Curtin Business School

The Digital Ecosystems and Business Intelligence Institute (DEBII)

School

Digital Ecosystems and Business Intelligence Institute (DEBII)

Remarks

Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/19829

Collection

Curtin Research Publications

Abstract

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. Thehuman 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.