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<p><i>We study the problem of modeling human slow rational thinking. We propose a semantic machine learning approach, which integrates semantic models, probabilistic methods, and machine learning to obtain mathematically well-defined objects. Bibliography: 26 titles.</i></p>

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SEMANTIC MACHINE LEARNING AND SLOW THINKING

  • 期刊论文

  • 发表日期：

    2025年11月1日

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  • Andrei Mantsivoda,
  • Denis Gavrilin

摘要

We study the problem of modeling human slow rational thinking. We propose a semantic machine learning approach, which integrates semantic models, probabilistic methods, and machine learning to obtain mathematically well-defined objects. Bibliography: 26 titles.