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dc.contributor.authorHadzic, Maja
dc.contributor.authorDillon, Darshan
dc.contributor.authorDillon, Tharam S.
dc.contributor.editorAM Tjoa
dc.contributor.editorRR Wagner
dc.date.accessioned2017-01-30T12:15:56Z
dc.date.available2017-01-30T12:15:56Z
dc.date.created2010-03-08T20:03:14Z
dc.date.issued2009
dc.identifier.citationHadzic, 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.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/19829
dc.identifier.doi10.1109/DEXA.2009.7
dc.description.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.

dc.publisherIEEE Computer Society
dc.subjectinformation retrieval
dc.subjectUML
dc.subjectmodeling of multi-agent systems
dc.subjectontologybased multi-agent systems
dc.titleUse and modeling of multi-agent systems in medicine
dc.typeConference Paper
dcterms.source.startPage303
dcterms.source.endPage307
dcterms.source.titleProceedings of the 20th International Conference on Database and Expert Systems Applications (DEXA 2009)
dcterms.source.seriesProceedings of the 20th International Conference on Database and Expert Systems Applications (DEXA 2009)
dcterms.source.isbn9780769537634
dcterms.source.conference20th International Conference on Database and Expert Systems Applications (DEXA 2009)
dcterms.source.conference-start-dateAug 31 2009
dcterms.source.conferencelocationLinz, Austria
dcterms.source.placeAustria
curtin.note

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.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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