Journal ArticleAnalysis · October 17, 2024
AbstractThere is a theorem that shows that it is impossible for an algorithm to jointly satisfy the statistical fairness criteria of Calibration and Equalized Odds non-trivially. But what about the recently ...
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Journal ArticlePhilosophy and Phenomenological Research · November 1, 2023
It is a consequence of the theory of imprecise credences that there exist situations in which rational agents inevitably become less opinionated toward some propositions as they gather more evidence. The fact that an agent's imprecise credal state can dila ...
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Journal ArticleBritish Journal for the Philosophy of Science · March 1, 2023
Kim’s causal exclusion argument purports to demonstrate that the non-reductive physicalist must treat mental properties (and macro-level properties in general) as causally inert. A number of authors have attempted to resist Kim’s conclusion by utilizing th ...
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Journal ArticleSynthese · December 1, 2021
A number of authors have recently used causal models to develop a promising semantics for non-backtracking counterfactuals. Briggs (Philosophical Studies 160:39–166, 2012) shows that when this semantics is naturally extended to accommodate right-nested cou ...
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Journal ArticleSynthese · November 1, 2021
Though common sense says that causes must temporally precede their effects, the hugely influential interventionist account of causation makes no reference to temporal precedence. Does common sense lead us astray? In this paper, I evaluate the power of the ...
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Journal ArticleMind · October 1, 2021
This manuscript was first published with some formatting errors that resulted in the illegibility of Figure 4 and Figure 8. These formatting errors have now been corrected. ...
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Journal ArticleMind · April 1, 2021
In this paper, I use interventionist causal models to identify some novel Newcomb problems, and subsequently use these problems to refine existing interventionist treatments of causal decision theory. The new Newcomb problems that make trouble for existing ...
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Journal ArticlePhilosophy of Science · December 1, 2019
Whether y obtains under the counterfactual supposition that x is thought to depend on whether y obtains in the most similar world(s) in which x obtains. Graphical causal models have proved useful in developing a principled notion of similarity between worl ...
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Journal ArticleBritish Journal for the Philosophy of Science · December 1, 2019
Schupbach and Sprenger ([2011]) introduce a novel probabilistic approach to measuring the explanatory power that a given explanans exerts over a corresponding explanandum. Though we are sympathetic to their general approach, we argue that it does not (with ...
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Journal ArticleErkenntnis · August 1, 2019
Meek and Glymour (Br J Philos Sci 45:1001–1021, 1994) use the graphical approach to causal modeling to argue that one and the same norm of rational choice can be used to deliver both causal-decision-theoretic verdicts and evidential-decision-theoretic verd ...
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Journal ArticleBritish Journal for the Philosophy of Science · September 1, 2018
Recent approaches to causal modelling rely upon the causal Markov condition, which specifies which probability distributions are compatible with a directed acyclic graph (DAG). Further principles are required in order to choose among the large number of DA ...
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Journal ArticleSynthese · October 1, 2017
Jim Joyce has argued that David Lewis’s formulation of causal decision theory is inadequate because it fails to apply to the “small world” decisions that people face in real life. Meanwhile, several authors have argued that causal decision theory should be ...
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Journal ArticlePhilosophers Imprint · January 1, 2017
There are cases of ineffable learning — i. e., cases where an agent learns something, but becomes certain of nothing that she can express — where it is rational to update by Jeffrey conditionalization. But there are likewise cases of ineffable learning whe ...
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Journal ArticleSynthese · January 1, 2014
There are simple mechanical systems that elude causal representation. We describe one that cannot be represented in a single directed acyclic graph. Our case suggests limitations on the use of causal graphs for causal inference and makes salient the point ...
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Journal ArticleBiology and Philosophy · September 1, 2012
In their 2010 book, Biology's First Law, D. McShea and R. Brandon present a principle that they call "ZFEL," the zero force evolutionary law. ZFEL says (roughly) that when there are no evolutionary forces acting on a population, the population's complexity ...
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