Abstract | ||
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This paper presents a mechanism of coalition formation where agents solve a problem of diagnosis. Our approach considers that a diagnosis may be seen as the result of an emergent process where findings (at a microscopic level) are interpreted by entities (at a macroscopic level). At the micro-level agents interact and form coalitions. At the macro-level specialized agents are able to interpret coalition formation and infer a diagnosis. Our domain of application is student modelling and in this framework we conceive it as a diagnosis task where a 'state of conceptions' is ascribed to a student based on his/her problem-solving activities. |
Year | Venue | Keywords |
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2002 | IBERAMIA | micro-level agents interact,macro-level specialized agent,student modelling,coalition formation,emergent diagnosis,microscopic level,diagnosis task,form coalition,problem-solving activity,emergent process,macroscopic level,multiagent systems |
Field | DocType | Volume |
Computer science,Artificial intelligence | Conference | 2527 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-00131-X | 2 |
PageRank | References | Authors |
0.56 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Carine Webber | 1 | 8 | 2.09 |
Sylvie Pesty | 2 | 111 | 16.46 |