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  1. Why Your Causal Intuitions are Corrupt: Intermediate and Enabling Variables.Christopher Clarke - 2023 - Erkenntnis 89 (3):1065-1093.
    When evaluating theories of causation, intuitions should not play a decisive role, not even intuitions in flawlessly-designed thought experiments. Indeed, no coherent theory of causation can respect the typical person’s intuitions in redundancy (pre-emption) thought experiments, without disrespecting their intuitions in threat-and-saviour (switching/short-circuit) thought experiments. I provide a deductively sound argument for these claims. Amazingly, this argument assumes absolutely nothing about the nature of causation. I also provide a second argument, whose conclusion is even stronger: the typical person’s causal intuitions (...)
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  • A Probabilistic Analysis of Causation.Luke Glynn - 2011 - British Journal for the Philosophy of Science 62 (2):343-392.
    The starting point in the development of probabilistic analyses of token causation has usually been the naïve intuition that, in some relevant sense, a cause raises the probability of its effect. But there are well-known examples both of non-probability-raising causation and of probability-raising non-causation. Sophisticated extant probabilistic analyses treat many such cases correctly, but only at the cost of excluding the possibilities of direct non-probability-raising causation, failures of causal transitivity, action-at-a-distance, prevention, and causation by absence and omission. I show that (...)
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  • A causal theory of counterfactuals.Eric Hiddleston - 2005 - Noûs 39 (4):632–657.
    I develop an account of counterfactual conditionals using “causal models”, and argue that this account is preferable to the currently standard account in terms of “similarity of possible worlds” due to David Lewis and Robert Stalnaker. I diagnose the attraction of counterfactual theories of causation, and argue that it is illusory.
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  • (1 other version)Sequential counterfactuals, cotenability and temporal becoming.Luc Bovens - 1998 - Philosophical Studies 90 (1):79-101.
    It has received little attention that the truth values of sequential counterfactuals (i.e. counterfactuals in which the antecedent event precedes the consequent event) can shift over time. In the footsteps of Goodman, I develop a theory of sequential counterfactuals that can account for this feature. The theory (i) defends a semifactual test of cotenability, (ii) spells out the truth conditions for semifactuals in probabilistic terms and (iii) accounts for truth-value shifts by appealing to a dynamic view of time.
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  • From responsibility to causation: The intransitivity of causation as a case study.Carolina Sartorio - 2023 - Philosophical Issues 33 (1):211-222.
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  • The Question of Iterated Causation.David Mark Kovacs - 2022 - Philosophy and Phenomenological Research 104 (2):454-473.
    This paper is about what I call the Question of Iterated Causation (QIC): for any instance of causation in which c1…ck cause effect e, what are the causes of c1…ck’s causing of e? In short: what causes instances of causation or, as I will refer to these instances, the “causal goings‐on”? A natural response (which I call “dismissivism”) is that this is a bad question because causal goings‐on aren’t apt to be caused. After rebutting several versions of dismissivism, I consider (...)
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  • Counterfactuals.Igal Kvart - 1992 - Erkenntnis 36 (2):139 - 179.
    In this article I offer an approach to counterfactuals based on a notion of objective probability. It is in the spirit of, though it does not fall squarely under, the metalinguistic model. Thus, it is not developed in terms of possible worlds, or notions parasitic on them (e.g., similarity). Its dominant features are rooted in objective probability and causal relevance (analyzed probabilistically), and thus it is not close in spirit to a maximal similarity or a minimal change approach.
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  • (1 other version)Causes and explanations: A structural-model approach. Part I: Causes.Joseph Y. Halpern & Judea Pearl - 2005 - British Journal for the Philosophy of Science 56 (4):843-887.
    We propose a new definition of actual causes, using structural equations to model counterfactuals. We show that the definition yields a plausible and elegant account of causation that handles well examples which have caused problems for other definitions and resolves major difficulties in the traditional account.
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  • Causal independence.Igal Kvart - 1994 - Philosophy of Science 61 (1):96-114.
    In Kvart (1991a), I discussed the analysis of causal relevance presented in A Theory of Counterfactuals (1986) (and first in 1975). I explained there in what respect the notion captured by the analysis of Kvart (1986) is a mere approximation to the requisite notion of causal relevance. In this paper I present another analysis of causal relevance, devoid of the shortcoming of its predecessor. The present analysis of causal relevance is, again, grounded in a chancelike notion of objective probability. The (...)
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  • Counterfactuals: Ambiguities, true premises, and knowledge.Igal Kvart - 1994 - Synthese 100 (1):133 - 164.
    In this paper I explore the ambiguity that arises between two readings of the counterfactual construction, then–d and thel–p, analyzed in my bookA Theory of Counterfactuals. I then extend the analysis I offered there to counterfactuals with true antecedents, and offer a more precise formulation of the conception of temporal divergence points used in thel–p interpretation. Finally, I discuss some ramifications of these issues for counterfactual analyses of knowledge.
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  • Analysing causation.Morgan Jennifer Margaret - unknown
    This thesis will survey several prominent approaches to analysing causation, discuss their differences and similarities, and look at a number of problems which are common to all of them. I will be arguing for the following claims about how we should approach the process of analysing causation. Firstly, I will be arguing that a reductive analysis is desirable, since if we can reductively analyse causation in terms of something empirically accessible, we can explain how it is possible to know anything (...)
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