What is context and how can an agent learn to find and use it when making decisions?
Developing context-aware applications needs facilities for recognizing context, reasoning on it and adapting accordingly. In this paper, we propose a context-based multi-agent architecture consisting of context aware agents able to learn how to distinguish relevant from non relevant context and to m...
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| creator | BUCUR, Oana BEAUNE, Philippe BOISSIER, Olivier |
| description | Developing context-aware applications needs facilities for recognizing context, reasoning on it and adapting accordingly. In this paper, we propose a context-based multi-agent architecture consisting of context aware agents able to learn how to distinguish relevant from non relevant context and to make appropriate decisions based on it. This multi-agent system interacts with a context manager layer, based on an ontological representation of context, which is able to answer context-related queries. The use of this architecture is illustrated on a test MAS for agenda management, using the JADE-LEAP platform on PCs and PDAs. |
| doi_str_mv | 10.1007/11559221_12 |
| format | Conference Proceeding |
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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications, 2005, p.112-121 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_17182793 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Computer Science Computer science control theory systems Exact sciences and technology Modeling and Simulation |
| title | What is context and how can an agent learn to find and use it when making decisions? |
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