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  1. The metaphysics of causation.Jonathan N. D. Schaffer - 2008 - Stanford Encyclopedia of Philosophy.
    Questions about the metaphysics of causation may be usefully divided as follows. First, there are questions about the nature of the causal relata, including (1.1) whether they are in spacetime immanence), (1.2) how fine grained they are individuation), and (1.3) how many there are adicity). Second, there are questions about the metaphysics of the causal relation, including (2.1) what is the difference between causally related and causally unrelated sequences connection), (2.2) what is the difference between sequences related as cause to (...)
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  • (1 other version)An "at-at" theory of causal influence.Wesley C. Salmon - 1977 - Philosophy of Science 44 (2):215-224.
    The propagation of causal influences through space-time seems to play a fundamental role in scientific explanation. Taking as a point of departure a basic distinction between causal interactions (which are localized in space-time) and causal processes (which may extend through vast regions of space-time), this paper attempts an analysis of the concept of causal propagation on the basis of the ability of causal processes to transmit "marks." The analysis rests upon the "at-at" theory of motion which has figured prominently in (...)
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  • Wesley Salmon’s Process Theory of Causality and the Conserved Quantity Theory.Phil Dowe - 1992 - Philosophy of Science 59 (2):195-216.
    This paper examines Wesley Salmon's "process" theory of causality, arguing in particular that there are four areas of inadequacy. These are that the theory is circular, that it is too vague at a crucial point, that statistical forks do not serve their intended purpose, and that Salmon has not adequately demonstrated that the theory avoids Hume's strictures about "hidden powers". A new theory is suggested, based on "conserved quantities", which fulfills Salmon's broad objectives, and which avoids the problems discussed.
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  • Philosophical Investigation Series: Selected Texts on Metaphysics, Language and Mind / Série Investigação Filosófica: Textos Selecionados de Metafísica, Linguagem e Mente.Rodrigo Cid & Pedro Merlussi (eds.) - 2020 - Pelotas: Editora da UFPel / NEPFIL Online.
    Um dos grandes desafios da era da informação consiste em filtrar informações claras, rigorosas e atualizadas sobre tópicos importantes. O mesmo vale para a filosofia. Como encontrar conteúdo filosófico confiável em meio a milhares de artigos publicados diariamente na internet? Para ir ainda mais longe, como encontrar uma introdução a algum tópico com uma lista de referências bibliográficas atualizadas e que seja organizada por um especialista da área? Já que você começou a ler este livro, é provável que tenha ouvido (...)
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  • Sayre's statistical model of causal relations.Douglas Shrader - 1978 - Philosophy of Science 45 (4):630-632.
    In a recent article [1], Kenneth Sayre presents what he takes to be an alternative to Salmon and Reichenbach's screening-off model of causal relations. His statistical model, based on communication theory, supposedly “has the added advantage of distinguishing cause and effect without reference to temporal distinction”. Unfortunately his model falls far short of this grand claim, faltering before the same sort of examples I had previously used to assail the screening-off model [2].
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  • Why don't effects explain their causes?Daniel M. Hausman - 1993 - Synthese 94 (2):227 - 244.
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  • A causal model for causal priority.Martin Bunzl - 1984 - Erkenntnis 21 (1):31 - 44.
    Recent attempts to fix the direction of causal priority without reference to the direction of temporal priority have begun with an analysis of the causal relation itself. I offer a method, based on causal modelling theory, designed to determine the direction of causal priority while remaining as agnostic as possible about the nature of the causal relation.
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  • Masking and causal relatedness: An elucidation.Kenneth Sayre - 1978 - Philosophy of Science 45 (4):633-637.
    Having noted my intention to improve upon other statistical analyses of causal relatedness by providing theoretical means to distinguish cause and effect without reference to temporality [1], Professor Shrader argues [3] that the alternative model I offer falters “before the same sort of examples he had previously used to assail” these other analyses. Although the assailant seems both to have misunderstood the model in question and to have overestimated the effect of his counterexamples, his objections provide a welcome opportunity for (...)
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