Human errors : disadvantages and advantages

The traditional paradigm for learning and training of operators in complex systems is discussed and criticised to react to 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 is discussed in the context of a new metaphor for cognitive structures to describe expertise, and how knowledge about unsuccessful behaviour influences the actual decision making process of expert