UMBC ebiquity
10th International Joint Conference on Artificial Intelligence
What's In a Deep Model? A Characterization of Knowledge Depth in Intelligent Safety Systems
August 1, 1987
While one can characterize deep and shallow models at a high level of abstraction and contrast their relative merits in a general way, this provides little direction for knowledge engineering. In particular, the field lacks a clear definition of 'knowledge depth' and lacks guidelines regarding the appropriate depth of models for a given application, in this paper we provide a very simple operational definition of knowledge depth' and use it to examine the opportunities for varying depth in Intelligent safety systems. The paper illustrates a domain-independent mode of analysis for examining progressively deeper models of expertise, and sketches some domain-specific guidelines for constructing intelligent safety systems. We draw upon examples from the domains of nuclear reactor management, chemical plant control, and management of computer installation operations
InProceedings
IJCAI
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