Abstract
The tremendous gap that exists between modern corrosion science and the real world, where a heavy toll is continuously paid to corrosion, is a clear indication that the present knowledge of corrosion mechanisms is not always translated into sound practices. The dichotomy between prevention principles discovered in a laboratory environment and their application on an industrial scale can often be felt at specialized conferences where scientists and operational engineers seem to be speaking different languages.
The application of artificial intelligence in performing expert functions has opened new communication channels between various strata of corrosion knowledge holders. This paper reviews the efforts published in the recent literature on the applications of the expert system technology to corrosion prevention and tries to demonstrate how such an approach could help to alleviate the information transfer bottleneck that exists between the real world and the world of knowledge.