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For Want of a Nail

Analysis 40 (1):50 - 52 (1980)

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  1. Causation in classical physics.Paul D. Bowen - 1983 - Synthese 57 (1):1 - 20.
    In summary, then, I have presented a program for analysis of physical causal statements in terms of the following metaphysical primitives: space (made up of ordered points), time (also ordered and punctiliar), causal density, haecceity and causal necessity. These can be ‘read off’ the theories in question. I claim that theevent-singular cases are crucial, and that other cases can be reduced to this via set theory and (causal) modal logic. I have given several examples of this sort of translation and (...)
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  • Killing Kripkenstein's Monster.Jared Warren - 2020 - Noûs 54 (2):257-289.
    Here I defend dispositionalism about meaning and rule-following from Kripkenstein's infamous anti-dispositionalist arguments. The problems of finitude, error, and normativity are all addressed. The general lesson I draw is that Kripkenstein's arguments trade on an overly simplistic version of dispositionalism.
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  • What Can Armstrongian Universals Do for Induction?William Peden - 2020 - Philosophia 49 (3):1145-1161.
    David Armstrong argues that necessitation relations among universals are the best explanation of some of our observations. If we consequently accept them into our ontologies, then we can justify induction, because these necessitation relations also have implications for the unobserved. By embracing Armstrongian universals, we can vindicate some of our strongest epistemological intuitions and answer the Problem of Induction. However, Armstrong’s reasoning has recently been challenged on a variety of grounds. Critics argue against both Armstrong’s usage of inference to the (...)
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  • The causal autonomy of the mental.E. J. Lowe - 1993 - Mind 102 (408):629-44.
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  • Causal Networks or Causal Islands? The Representation of Mechanisms and the Transitivity of Causal Judgment.Samuel G. B. Johnson & Woo-Kyoung Ahn - 2015 - Cognitive Science 39 (7):1468-1503.
    Knowledge of mechanisms is critical for causal reasoning. We contrasted two possible organizations of causal knowledge—an interconnected causal network, where events are causally connected without any boundaries delineating discrete mechanisms; or a set of disparate mechanisms—causal islands—such that events in different mechanisms are not thought to be related even when they belong to the same causal chain. To distinguish these possibilities, we tested whether people make transitive judgments about causal chains by inferring, given A causes B and B causes C, (...)
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