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Learning Concepts with a Prototype-Based Model for Concept Representation

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Machine Learning

Part of the book series: The Kluwer International Series in Engineering and Computer Science ((SECS,volume 12))

Abstract

In this research we are developing a prototype-based model for concept representation that requires the building of transformations for matching instances of a concept. This model allows us to learn concepts that could not be readily defined in previous learning systems that use logical definitions requiring necessary and sufficient conditions for specifying concept membership.

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© 1986 Kluwer Academic Publishers

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Nagel, D.J. (1986). Learning Concepts with a Prototype-Based Model for Concept Representation. In: Machine Learning. The Kluwer International Series in Engineering and Computer Science, vol 12. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2279-5_49

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  • DOI: https://doi.org/10.1007/978-1-4613-2279-5_49

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-9406-1

  • Online ISBN: 978-1-4613-2279-5

  • eBook Packages: Springer Book Archive

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