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Degrees of Similarity in Knowledge Transfer

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2859))

Abstract

In analogical problem solving individuals infer an abstract solution schema from the source and apply it to the target. The schema is composed by the relevant elements which can be matched onto the target. It is assumed that stories sharing a high number of elements are perceived as more similar than stories having a lower number of common elements. An analysis carried out by means of a Kohonen map supported this assumption: the pattern of similarities represented by the Kohonen map corresponded to the similarity judgements produced by human subjects.

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References

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© 2003 Springer-Verlag Berlin Heidelberg

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Antonietti, A., Maretti, C. (2003). Degrees of Similarity in Knowledge Transfer. In: Apolloni, B., Marinaro, M., Tagliaferri, R. (eds) Neural Nets. WIRN 2003. Lecture Notes in Computer Science, vol 2859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45216-4_38

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  • DOI: https://doi.org/10.1007/978-3-540-45216-4_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20227-1

  • Online ISBN: 978-3-540-45216-4

  • eBook Packages: Springer Book Archive

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