Corpus ID: 146808808

Learning Algebraic Structures: Preliminary Investigations

@article{He2019LearningAS,
  title={Learning Algebraic Structures: Preliminary Investigations},
  author={Y. He and M. Kim},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.02263}
}

Y. He, M. Kim

Published 2019

Computer Science, Mathematics

ArXiv

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… CONTINUE READING

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