Learning Algebraic Structures: Preliminary Investigations

Yang-Hui He; Minhyong Kim

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arXiv · 1905.02263

Learning Algebraic Structures: Preliminary Investigations

Yang-Hui He·Minhyong Kim

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Abstract

We employ techniques of machine-learning, exemplified by support vector machines and neural classifiers, to initiate the study of whether AI can "learn" algebraic structures. Using finite groups and finite rings as a concrete playground, we find that questions such as identification of simple groups by "looking" at the Cayley table or correctly matching addition and multiplication tables for finite rings can, at least for structures of small size, be performed by the AI, even after having been trained only on small number of cases. These results are in tandem with recent investigations on whether AI can solve certain classes of problems in algebraic geometry.

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cs.LG hep-th math.GR math.RA stat.ML

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Yang-Hui He, Minhyong Kim. 2019-05-02. Learning Algebraic Structures: Preliminary Investigations. https://arxiv.org/abs/1905.02263

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