TICSA approach: five important aspects of multi-agent systems
The issues of distributed and heterogeneous information, lack an underlying knowledge base, autonomy of the information resources, dynamic nature of the information retrieval process and dramatically increase of the available information are major factors hindering efficient and effective use of the...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
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Springer
2008
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| Online Access: | http://hdl.handle.net/20.500.11937/13535 |
| _version_ | 1848748371994476544 |
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| author | Hadzic, Maja Chang, Elizabeth |
| author2 | R. Meersman |
| author_facet | R. Meersman Hadzic, Maja Chang, Elizabeth |
| author_sort | Hadzic, Maja |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The issues of distributed and heterogeneous information, lack an underlying knowledge base, autonomy of the information resources, dynamic nature of the information retrieval process and dramatically increase of the available information are major factors hindering efficient and effective use of the available information. In this paper we explain the importance of multi-agent systems in addressing these issues effectively and illustrate this on an example of multi-agent system designed to intelligently retrieve human disease information. We also present a conceptual framework (TICSA) which focuses on the five different aspects of multi-agent systems namely, agent Types, Intelligence, Collaboration, Security and Assembly. This framework can be used to provide insight and guidance during the multi-agents systems design. |
| first_indexed | 2025-11-14T07:03:59Z |
| format | Conference Paper |
| id | curtin-20.500.11937-13535 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:03:59Z |
| publishDate | 2008 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-135352022-11-21T06:47:07Z TICSA approach: five important aspects of multi-agent systems Hadzic, Maja Chang, Elizabeth R. Meersman Z. Tari P. Herrero information retrieval human diseases biomedical information systems multi-agent system design Multi-agent system The issues of distributed and heterogeneous information, lack an underlying knowledge base, autonomy of the information resources, dynamic nature of the information retrieval process and dramatically increase of the available information are major factors hindering efficient and effective use of the available information. In this paper we explain the importance of multi-agent systems in addressing these issues effectively and illustrate this on an example of multi-agent system designed to intelligently retrieve human disease information. We also present a conceptual framework (TICSA) which focuses on the five different aspects of multi-agent systems namely, agent Types, Intelligence, Collaboration, Security and Assembly. This framework can be used to provide insight and guidance during the multi-agents systems design. 2008 Conference Paper http://hdl.handle.net/20.500.11937/13535 10.1007/978-3-540-88875-8_131 Springer fulltext |
| spellingShingle | information retrieval human diseases biomedical information systems multi-agent system design Multi-agent system Hadzic, Maja Chang, Elizabeth TICSA approach: five important aspects of multi-agent systems |
| title | TICSA approach: five important aspects of multi-agent systems |
| title_full | TICSA approach: five important aspects of multi-agent systems |
| title_fullStr | TICSA approach: five important aspects of multi-agent systems |
| title_full_unstemmed | TICSA approach: five important aspects of multi-agent systems |
| title_short | TICSA approach: five important aspects of multi-agent systems |
| title_sort | ticsa approach: five important aspects of multi-agent systems |
| topic | information retrieval human diseases biomedical information systems multi-agent system design Multi-agent system |
| url | http://hdl.handle.net/20.500.11937/13535 |