A blackboard architecture for control
Artificial Intelligence
The role of frame-based representation in reasoning
Communications of the ACM
Artificial Intelligence
ROGET: A knowledge-based system for acquiring the conceptual structure of a diagnostic expert system
Journal of Automated Reasoning
Conceptual models of interactive knowledge acquisition tools
Knowledge Acquisition
NEOANEMIA: a knowledge-based system emulating diagnostic reasoning
Computers and Biomedical Research
Usable and reusable programming constructs
Knowledge Acquisition
Enabling technology for knowledge sharing
AI Magazine
Artificial Intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
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This paper describes the approach we are pursuing for modeling inferential processes in knowledge-based systems. It is aimed at overcoming the lack of generality affecting many of the systems described in the literature. This mainly happens since the problem-solving method adopted by those systems is too closely tied to the particular domain problem over which the method itself has been modeled. We also describe a system called M-KAT (Medical Knowledge Acquisition Tool) which is useful in simplifying the process of acquiring inferential knowledge. M-KAT relies on an epistemological model of medical reasoning which represents a generalization of most of the problem-solving methods adopted in medical knowledge-based systems. The metarules formalism has been adopted as a mean for representing inferential knowledge and making its acquisition easier, thus allowing the computational implementation of the epistemological model of medical reasoning.