Abstract
In this paper the traditional paradigm for learning and training of operators in complex systems is discussed and criticised. There is a strong influence 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 behaviour influences the actual decisions
| Original language | English |
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| Title of host publication | Proceedings. 6th IEEE International Workshop on Robot and Human Communication. RO MAN '97 Sendai |
| Place of Publication | New York, NY, USA |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 284-289 |
| ISBN (Print) | 0780340760 |
| Publication status | Published - 1997 |