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The inferences of common causes reduced to common origins

机译:共同原因的推论减少到共同的起源

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This paper advocates the reduction of the inference of common cause to that of common origins. It distinguishes and subjects to critical analysis thirteen interpretations of "the inference of common cause" whose conclusions do not follow from their assumptions. Instead, I introduce six types of inferences of common origins of information signals from their receivers to reduce, in the sense of supersede and replace, the thirteen inferences of common causes. I show how the paradigmatic examples of inferences of common cause, as well as a broader scope of inferences in the historical sciences, are better explained by inferences of origins.Inferences of origins from information rich coherences between receivers of information signals both fit more closely and explain better the range of examples that have traditionally been associated with inferences of common causes, as well as a broader scope of examples from the historical sciences. Shannon's concept of information as reduction in uncertainty, rather than physicalist concepts of information that relate it to entropy or waves, simplifies the inferences, preempts objections, and avoids the underdetermination of conclusions that challenge models of inferences of common causes.In the second part of the paper I model inferences of common origins from information preserved in their receivers. I distinguish information poor inferences that there were some common origins of receivers from the information richer inferences of ranges of possible common origins and the information transmission channels by which they transmitted signals to receivers. Lastly and most information rich, I distinguish the inference of the defining properties of common origins. The information transmission model from origins to receivers allows the reconceptualization of the concepts of "independence" as absence of intersections between information channels and "reliability" as the preservation of information from origins in receivers. Finally, I show how inferences of origins form the epistemic basis of the historical sciences.
机译:本文主张减少常见原因的推理对共同起源。它区分和受到关键分析十三个解释“推理常见原因的推理”,其结论不会遵循他们的假设。相反,我从他们的接收器引入了六种类型的信息信号的推论,从而减少了超越和更换的意义,常见原因的十三个推论。我展示了如何通过起源推论,更好地解释了常见事业的推论和更广泛的推论范围的范式的典范。从信息中的信息富裕的信息中的信息来自信息信号之间的信息丰富的相互作用,均更加贴合更好地解释传统上与共同原因的推断相关的示例的范围,以及历史科学的示例范围更广泛。 Shannon的信息概念为不确定性的减少,而不是将其与熵或波的信息相关的信息概念,简化了推论,抢先异议,并避免了结论的结论,即挑战共同原因推论模式。在第二部分本文从在其接收器中保留的信息中模拟共同起源的推论。我区分信息较差的推论,即从可能的共同起源的范围的信息富裕的信息更富有的信息越来越多的接收器起源以及他们将信号传输到接收器的信息传输信道。最后和大多数信息丰富,我区分了常见问题的定义属性的推断。从来源到接收器的信息传输模型允许在没有信息信道和“可靠性”之间的交叉口的缺失的概念重新分解,作为从接收器中的来源保存信息。最后,我展示了起源的推论是如何形成历史科学的认识基础。

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