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              <p>La plupart des agents conversationnels déployés sur les sites de vente en ligne se cantonnent au rôle de foire aux questions interactive. Le retour d'expérimentation nous apprend que les attentes des utilisateurs vis-à-vis de ces agents conversationnels ne sont pas comblées. Dans cet article, nous définissons un agent proactif expert destiné à mieux répondre à ce type d'application. A partir d'un scénario, nous identifions les caractéristiques que doit exhiber un tel agent dialogique proactif : prise d'initiative, adaptabilité, acquisition d'information, etc. Notre implémentation s'appuie sur le langage AIML initialement concu pour des agents purement réactifs. Nous en identifions le potentiel et les limites pour notre approche.</p>
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