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Emergent Diagnosis via Coalition Formation

Abstract : 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 prob-lem-solving activities.
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Contributor : Carine Webber Connect in order to contact the contributor
Submitted on : Friday, October 8, 2004 - 9:29:56 PM
Last modification on : Friday, November 6, 2020 - 4:15:48 AM
Long-term archiving on: : Thursday, April 1, 2010 - 3:22:54 PM


  • HAL Id : hal-00003044, version 1



Carine Webber, Sylvie Pesty. Emergent Diagnosis via Coalition Formation. Proceedings of the 8th Iberoamerican Conference on Artificial Intelligence, 2002, pp.755-764. ⟨hal-00003044⟩



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