Persuasive Argumentation in a Medical Diagnosis Tutoring System

نویسندگان

  • Amin Rahati
  • Froduald Kabanza
چکیده

An important problem in intelligent tutoring systems and decision support systems in general concern the implementation of a convincing argumentation dialog between the system and the student or the user. The requirements for a convincing argumentation dialog can vary depending on the kinds of conflicts that arise in the exchanges between the system and the user. In this paper we discuss an approach computing and presenting persuasive arguments in an intelligent tutoring system for medical diagnosis. Although the focus of our application is on a simulator of medical diagnosis problems intended to provide exercises to medical students, the argumentation framework we propose could also inspire other types of decision support systems.

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تاریخ انتشار 2010