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非正式论证的合理性:一种用于推理谬误的贝叶斯方法。

The rationality of informal argumentation: a Bayesian approach to reasoning fallacies.

作者信息

Hahn Ulrike, Oaksford Mike

机构信息

School of Psychology, Cardiff University, Cardiff, Wales.

出版信息

Psychol Rev. 2007 Jul;114(3):704-32. doi: 10.1037/0033-295X.114.3.704.

Abstract

Classical informal reasoning "fallacies," for example, begging the question or arguing from ignorance, while ubiquitous in everyday argumentation, have been subject to little systematic investigation in cognitive psychology. In this article it is argued that these "fallacies" provide a rich taxonomy of argument forms that can be differentially strong, dependent on their content. A Bayesian theory of content-dependent argument strength is presented. Possible psychological mechanisms are identified. Experiments are presented investigating whether people's judgments of the strength of 3 fallacies--the argumentum ad ignorantiam, the circular argument or petitio principii, and the slippery slope argument--are affected by the factors a Bayesian account predicts. This research suggests that Bayesian accounts of reasoning can be extended to the more general human activity of argumentation.

摘要

例如,经典的非形式推理“谬误”,如循环论证或诉诸无知的论证,虽然在日常论证中无处不在,但在认知心理学中却很少受到系统的研究。本文认为,这些“谬误”提供了丰富的论证形式分类,其强度可能因内容而异。提出了一种基于贝叶斯理论的内容依赖型论证强度模型,并确定了可能的心理机制。通过实验研究人们对三种谬误——诉诸无知论证、循环论证或窃取论点、滑坡论证——强度的判断是否会受到贝叶斯理论所预测的因素的影响。该研究表明,贝叶斯推理理论可以扩展到更一般的人类论证活动中。

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