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Pessimistic Meta-Induction and Its Limits: Lessons from Frequentist Statistics and Machine Learning Theory

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  1. TOOL · CL_208561 ·

    新论文利用统计学和机器学习理论挑战元归纳

    本文提出了一种新的挑战,通过关注其归纳步骤来反驳对科学实在论的悲观元归纳论证。作者借鉴了频率统计学、机器学习和形式认识论的认识论框架,以评估科学推理的真实性收敛性。他们认为,虽然普通的枚举归纳可以收敛到真实,但元归纳却不能,并且在元归纳的特定背景下,没有任何推理方法可以实现这种收敛。