Why and what can we learn from human errors?

In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence (the doctrine of 'mental logic') coming from research carried out in artificial intelligence discussed in relation to expertise, intuition and implicit knowledge. The importance of faults and errors are discussed in the context of cognitive structures to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decision