Knowledge representation plays a key role in the development of any Artificial Intelligence based system. A good representation can significantly shorten development time and execution speed, while a poor representation can doom a project.Four representation techniques are commonly used to model knowledge in expert systems: logic, production rules, semantic networks, and frames. This paper describes the application of each of these techniques in modelling mechanical systems. Advantages and disadvantages for each of these techniques are presented.
Knowledge Representation for Expert Systems: A Survey and Evaluation of Techniques
Sae Technical Papers
SAE International Congress and Exposition ; 1987
01.02.1987
Aufsatz (Konferenz)
Englisch
Knowledge representation for expert systems:a survey and evaluation of techniques
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