User-centric preference-based decision making

نویسندگان

  • Ingrid Nunes
  • Simon Miles
  • Michael Luck
  • Carlos José Pereira de Lucena
چکیده

The automation of user tasks by agents may involve decision making that must take into account user preferences. This paper introduces a decision making technique that reasons about preferences and priorities expressed in a high-level language in order to choose an option from the set of those available. Our technique includes principles from psychology, concerning the way in which humans make decisions. Our preference language is informed by a user study on preference expression, which is also used to evaluate our approach by comparing our results with those provided by a human expert. The evaluation indicates that our technique makes choices on behalf of the user with as good quality as made by the expert.

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تاریخ انتشار 2012