Use and modeling of multi-agent systems in medicine
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...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Conference Paper |
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IEEE Computer Society
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/19829 |
| _version_ | 1848750141165535232 |
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| author | Hadzic, Maja Dillon, Darshan Dillon, Tharam S. |
| author2 | AM Tjoa |
| author_facet | AM Tjoa Hadzic, Maja Dillon, Darshan Dillon, Tharam S. |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:32:07Z |
| format | Conference Paper |
| id | curtin-20.500.11937-19829 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:32:07Z |
| publishDate | 2009 |
| publisher | IEEE Computer Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-198292022-12-09T05:23:43Z Use and modeling of multi-agent systems in medicine Hadzic, Maja Dillon, Darshan Dillon, Tharam S. AM Tjoa RR Wagner information retrieval UML modeling of multi-agent systems ontologybased multi-agent systems 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. 2009 Conference Paper http://hdl.handle.net/20.500.11937/19829 10.1109/DEXA.2009.7 IEEE Computer Society fulltext |
| spellingShingle | information retrieval UML modeling of multi-agent systems ontologybased multi-agent systems Hadzic, Maja Dillon, Darshan Dillon, Tharam S. Use and modeling of multi-agent systems in medicine |
| title | Use and modeling of multi-agent systems in medicine |
| title_full | Use and modeling of multi-agent systems in medicine |
| title_fullStr | Use and modeling of multi-agent systems in medicine |
| title_full_unstemmed | Use and modeling of multi-agent systems in medicine |
| title_short | Use and modeling of multi-agent systems in medicine |
| title_sort | use and modeling of multi-agent systems in medicine |
| topic | information retrieval UML modeling of multi-agent systems ontologybased multi-agent systems |
| url | http://hdl.handle.net/20.500.11937/19829 |