In virtual training scenarios, agent technology can be used to build a virtual tutor that assists a student during training. In a dialogue using argumentation schemes, the virtual tutor provides reasons to the students to explain why a particular action is the most sensible. The tutor determines the best action using practical reasoning. The justification of this action is selected based on the personality type of the student. This paper studies how agent technology could be used to make a virtual tutor that assists the student during the training. In particular, we study how the tutor can generate persuasive arguments for what the student should do.
['Thomas L. van der Weide', 'Frank Dignum', 'John-Jules Ch. Meyer', 'Henry Prakken', 'Gerard Vreeswijk']
Personality-Based Practical Reasoning