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How to Do Maths with Words: Neural Machine Learning Applications to Mathematics and Their Philosophical Significance

In: Handbook of the History and Philosophy of Mathematical Practice

Author

Listed:
  • Juan Luis Gastaldi

    (ETH Zurich)

Abstract

Recent years have seen a remarkable development of deep neural network techniques for data analysis, along with their increasing application in scientific research across different disciplines. The field of mathematics has not been exempted from this general trend. The present chapter provides a survey of recent applications of neural models to mathematics and assesses their philosophical significance, related to the role of language in mathematics.

Suggested Citation

  • Juan Luis Gastaldi, 2024. "How to Do Maths with Words: Neural Machine Learning Applications to Mathematics and Their Philosophical Significance," Springer Books, in: Bharath Sriraman (ed.), Handbook of the History and Philosophy of Mathematical Practice, pages 3191-3226, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-40846-5_142
    DOI: 10.1007/978-3-031-40846-5_142
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