Artificial intelligence and tutoring systems: computational and cognitive approaches to the communication of knowledge
Design environments for constructive and argumentative design
CHI '89 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The role of critiquing in cooperative problem solving
ACM Transactions on Information Systems (TOIS) - Special issue on computer—human interaction
Survey of expert critiquing systems: practical and theoretical frontiers
Communications of the ACM
Knowledge reuse among diagnostic problem-solving methods in the shell-kit D3
International Journal of Human-Computer Studies
Expert Critiquing Systems
Cooperating Diagnostic Expert Systems to Solve Complex Diagnosis Tasks
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Concepts for a Diagnostic Critiquing System in Vague Domains
KI '98 Proceedings of the 22nd Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Temporal Control Structures In Expert Critiquing Systems
TIME '97 Proceedings of the 4th International Workshop on Temporal Representation and Reasoning (TIME '97)
HepatoConsult: a knowledge-based second opinion and documentation system
Artificial Intelligence in Medicine
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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.