About faults, errors, and other dangerous things

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    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 languageEnglish
    Title of host publicationProceedings. 6th IEEE International Workshop on Robot and Human Communication. RO MAN '97 Sendai
    Place of PublicationNew York, NY, USA
    PublisherInstitute of Electrical and Electronics Engineers
    ISBN (Print)0780340760
    Publication statusPublished - 1997


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