Human Errors: Disadvantages and Advantages
نویسندگان
چکیده
The traditional paradigm for learning and training of operators in complex systems is discussed and criticised to react on the strong influence (the doctrine of 'mental logic') coming from research carried out in artificial intelligence (AI). The most well known arguments against the AI-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 behavior influences the actual decision making process of experts.
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