Abstract
In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticized. There is a strong influence (the doctrine of ‘mental logic’) coming from research carried out in artificial intelligence (AI). The most well known arguments against the Al-approach are presented and discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed in the context of a new metaphor for cognitive structures to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decisions.
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© 1996 Kluwer Academic Publishers
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Rauterberg, M. (1996). About Faults, Errors, and Other Dangerous Things. In: Human Interaction with Complex Systems. The Kluwer International Series in Engineering and Computer Science, vol 372. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1447-9_20
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DOI: https://doi.org/10.1007/978-1-4613-1447-9_20
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