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Repeatability, Reproducibility, Computer Science and High Performance Computing : Stochastic simulations can be reproducible too…

机译:可重复性,可再现性,计算机科学和高性能计算:随机模拟也可以可再现...

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Many of us know the important work of Karl Popper, as philosopher of Science, specialized in modeling and simulation. Karl Popper is generally regarded as one of the greatest philosophers of Science of the 20th century. Among the criteria of the scientific method, which are intangible principles, we find refutability, non-contradiction and reproducibility. The latter is one of the conditions on which Popper distinguishes between the scientific or pseudo-scientific character of a study. Indeed, Science works by drawing “laws” or “principles” from reproducible observations whose main property is to be true as long as no observation has proved otherwise. Scientific conclusions can only be drawn from a well observed and described “result/event”, which has appeared several times, and has been observed by different people and/or studies. This criterion eliminates what seriously distorts the results as well as errors in judgment or even manipulations by scientists.
机译:我们许多人都知道作为科学哲学家的卡尔·波普尔(Karl Popper)的重要工作,他专门研究建模和仿真。卡尔·波普尔(Karl Popper)通常被认为是20世纪最伟大的科学哲学家之一。在科学方法的标准(是无形原则)中,我们发现可驳斥性,无矛盾性和可重复性。后者是波普尔区分研究的科学性质或伪科学性质的条件之一。实际上,只要没有观察证明是其他事实,科学就是通过从可重复观察的结果中得出“定律”或“原理”来工作的。科学结论只能从经过良好观察和描述的“结果/事件”中得出,该结果已经出现过几次,并且已经由不同的人和/或研究观察到。该标准消除了严重扭曲结果的因素,以及消除了科学家甚至是判断或操纵中的错误。

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