Automatic task model generation for Interface Agent development

نویسندگان

  • Victoria Eyharabide
  • Analía Amandi
چکیده

To give the user proper assistance, an interface agent should be able to predict the user's intentions. Usually, they achieve that through the use of a detailed task model for a particular application domain. However, to develop such knowledge representations is a difficult and time-consuming activity. Generally, it is tedious and annoying for the agent developers to express such knowledge manually. Also, the necessity to have an expert that offers information on the application domain is a problematic restriction. Therefore, this paper will focus on the automatic task model generation without previous knowledge on the application domain.

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عنوان ژورنال:
  • Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2005