Abstract
What is expertise? In the context of recent growing interest in the significant role of external representations in reasoning and learning, this traditional question may need to be reconsidered. In artificial intelligence and cognitive science, expert systems that flourished in the early 80’s were a bold trial to capture expertise in order to implement it in computers. But the inherent tacitness of expertise made it elusive to elicitation. According to the situated-cognition view (e.g. [1]), knowledge or expertise is not an entity describable independently of the situation surrounding an expert; it is not storable and retrievable as an entity in a computer unlike a physical object is stored in and retrieved from a drawer.
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Suwa, M. (2004). A Training Program to be Perceptually Sensitive and Conceptually Productive through Meta-cognition: A Case Study. In: Blackwell, A.F., Marriott, K., Shimojima, A. (eds) Diagrammatic Representation and Inference. Diagrams 2004. Lecture Notes in Computer Science(), vol 2980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25931-2_40
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DOI: https://doi.org/10.1007/978-3-540-25931-2_40
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