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Resolving the Symbol-Subsymbol Debates

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A Geometric Approach to the Unification of Symbolic Structures and Neural Networks

Part of the book series: Studies in Computational Intelligence ((SCI,volume 910))

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Abstract

The symbol spatialization process creates a new geometric layer between the connectionist layer and the symbolic layer. Connectionist networks produce vectors; Geometric layers promote these vectors into \(\mathscr {N}\)-Balls in higher dimensions.

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Notes

  1. 1.

    I am greatly indebted to Ron Sun for the personal communication.

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Authors and Affiliations

  1. ML2R Competence Center for Machine Learning Rhine-Ruhr, MLAI Lab, AI Foundations Group, Bonn-Aachen International Center for Information Technology (b-it), University of Bonn, Bonn, Germany

    Tiansi Dong

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  1. Tiansi Dong
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Correspondence to Tiansi Dong .

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Dong, T. (2021). Resolving the Symbol-Subsymbol Debates. In: A Geometric Approach to the Unification of Symbolic Structures and Neural Networks. Studies in Computational Intelligence, vol 910. Springer, Cham. https://doi.org/10.1007/978-3-030-56275-5_8

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