Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine

Maxime Morge () and Stefano Bromuri ()
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Maxime Morge: LIFL - Laboratoire d'Informatique Fondamentale de Lille - Université de Lille, Sciences et Technologies - Inria - Institut National de Recherche en Informatique et en Automatique - Université de Lille, Sciences Humaines et Sociales - CNRS - Centre National de la Recherche Scientifique, SMAC - Systèmes Multi-Agents et Comportements - CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 - Centrale Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique, Dipartimento di Informatica [Pisa] - UniPi - University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie], DI - Dipartimento di Informatica [Pisa] - UniPi - University of Pisa [Italy] = Università di Pisa [Italia] = Université de Pise [Italie]

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Abstract: Evidence based medicine (EBM) requires many different sources of knowledge when dealing with complex patients. Such a discipline inherently involves the issue of conflicts arising amongst arguments coming from different sources, such as guidelines, trials and clinical studies. In this paper we consider a set of agents with their own medical argumentation which exchange medical arguments to enrich their own knowledge and suggest a set of treatments resulting from the argumentation process.

Date: 2013
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Published in AIME'2013 -- Murcia (Spain) -- May 29 - June 1, 2013, 2013, Spain. pp.33-37

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00826473

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