Causal Influence

Richard Corry
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引用次数: 11

Abstract

This chapter argues that the reductive method of explanation assumes an ontology of causal powers that manifest invariant causal influence. The reductive method takes what we know about how systems behave in one situation (typically a situation of relative isolation), and apply that knowledge to explain or predict the behaviour of the system in another situation (such as when it is a part of a more complex system). If this method is to work, then there must be something that remains constant from one situation to another in a way that supports the method. It is shown that standard ontologies do not contain anything that can fulfil this role. It is then shown that a relatively novel kind of entity, dubbed ‘causal influence’, can do the job.
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因果关系的影响
本章认为,还原法的解释假定了一种体现不变因果影响的因果力量本体论。还原法利用我们所知道的系统在一种情况下(通常是相对孤立的情况)的行为,并应用这些知识来解释或预测系统在另一种情况下(例如当它是一个更复杂的系统的一部分时)的行为。如果这个方法是有效的,那么必须有一些东西从一种情况到另一种情况保持不变,以支持该方法。它表明,标准本体不包含任何可以完成此角色的东西。然后表明,一种相对新颖的实体,被称为“因果影响”,可以完成这项工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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