Abstract
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.
This work has been supported by the Deutsche Forschungsgemeinschaft (DFG; grant Pu 129/2 1).
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(1999). Meta Knowledge for Extending Diagnostic Consultation to Critiquing Systems. In: Fensel, D., Studer, R. (eds) Knowledge Acquisition, Modeling and Management. EKAW 1999. Lecture Notes in Computer Science(), vol 1621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48775-1_28
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DOI: https://doi.org/10.1007/3-540-48775-1_28
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