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

Juan Luis Gastaldi ()
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Juan Luis Gastaldi: ETH Zurich

A chapter in Handbook of the History and Philosophy of Mathematical Practice, 2024, pp 3191-3226 from Springer

Abstract: 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.

Keywords: Deep Neural Networks; Mathematical Practices; Artificial Intelligence; Mathematical Language; Natural Language; Natural Language Processing; Mathematical Language Processing; Linguistics; Computation; Large Language Models; Mathematical Proofs; Mathematical Objects; Mathematical Skills; Mathematical Heuristics (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-40846-5_142

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DOI: 10.1007/978-3-031-40846-5_142

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