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摘要翻译：
实验重复性的危机要求重新评估研究方法和验证程序。本文对现有的知识获取假设提出了质疑，并引入了G-复杂性定义可判定知识域和不可判定知识域。“第二次笛卡尔革命”，以预期过程为依据并以预期过程为意识，应当产生超越决定论和还原论的科学方法。物理学和以物理学为基础的学科通过充分地描述非生命而令人信服地确定了自己。一个互补的观点应该通过整合过去、现在和未来来解释生命的特定因果关系特征。关于预期过程的知识有助于这一目标的实现。社会承受不起还原论的死胡同。科学本身是一种预期活动的表达，在我们的时代，它使人们能够对现实及其动态的另一种理解成为可能。
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英文标题：
《Rethinking the Experiment》
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作者：
Mihai Nadin
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最新提交年份：
2016
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
The crisis in the reproducibility of experiments invites a re-evaluation of methods of inquiry and validation procedures. The text challenges current assumptions of knowledge acquisition and introduces G-complexity for defining decidable vs. non-decidable knowledge domains. A "second Cartesian revolution," informed by and in awareness of anticipatory processes, should result in scientific methods that transcend determinism and reductionism. Physics and physics-based disciplines convincingly ascertained themselves by adequately describing the non-living. A complementary perspective should account for the specific causality characteristic of life by integrating past, present, and future. Knowledge about anticipatory processes facilitates attainment of this goal. Society cannot afford the dead-end street of reductionism. Science, itself an expression of anticipatory activity, makes possible in our days alternative understandings of reality and its dynamics.
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PDF链接：
https://arxiv.org/pdf/1612.02491
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