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Modeling the invention of a new inference rule: The case of ‘Randomized Clinical Trial’ as an argument scheme for medical science

机译:为新的推理规则的发明建模:“随机临床试验”作为医学科学的论证方案

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A background assumption of this paper is that the repertoire of inference schemes available to humanity is not fixed, but subject to change as new schemes are invented or refined and as old ones are obsolesced or abandoned. This is particularly visible in areas like health and environmental sciences, where enormous societal investment has been made in finding ways to reach more dependable conclusions. Computational modeling of argumentation, at least for the discourse in expert fields, will require the possibility of modeling change in a stock of schemes that may be applied to generate conclusions from data. We examine Randomized Clinical Trial, an inference scheme established within medical science in the mid-20th Century, and show that its successful defense by means of practical reasoning allowed for its black-boxing as an inference scheme that generates (and warrants belief in) conclusions about the effects of medical treatments. Modeling the use of a scheme is well-understood; here we focus on modeling how the scheme comes to be established so that it is available for use.
机译:本文的背景假设是,人类可用的推理方案的种类不是固定的,而是随着新方案的发明或改进以及旧方案的过时或被抛弃而变化。这在健康和环境科学等领域尤为明显,在该领域中,人们投入了巨大的社会投资来寻找得出更可靠结论的方法。至少对于专家领域的论述而言,论证的计算建模将需要对可能用于从数据生成结论的一系列方案进行建模的可能性。我们研究了随机临床试验(一种在20世纪中叶在医学界建立的推论),并表明其通过实践推理的成功防御使得其黑盒可以作为产生(并保证相信)结论的推论。关于医疗效果。对方案的使用进行建模是很容易理解的。在这里,我们集中于建模如何建立该方案,以便可以使用它。

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