Meta Knowledge for Extending Diagnostic Consultation to Critiquing Systems

نویسنده

  • Frank Puppe
چکیده

Critiquing systems check for weaknesses in the user's solution and may suggest corrections. Although their usefulness was first emphasized in diagnostic domains [6], the main success of knowledge based critiquing systems have been in design applications [4, 13]. While in the latter a deep understanding is often not necessary for critiquing purposes, in complex diagnostic domains the capability to solve the problems is critical for critiquing systems. However, they need additional knowledge to adjust to the user's solution instead of merely inferring solutions by themselves. We analyze that knowledge and propose a minimal model for extending a diagnostic consultation to a critiquing shell.

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تاریخ انتشار 1999