Cause without Default

Author:

Blanchard Thomas,Schaffer Jonathan

Abstract

Must causal models distinguish default from deviant events? Yes, say Menzies (2004, 2007), Hitchcock (2007), Hall (2007), and Halpern (2008), inter alia. No, argues this chapter. It argues that adding defaults into causal models (1) generates complicating and under-constrained unclarities, (2) fails to solve the problems it has been claimed to solve, and (3) fails to fit the most psychologically plausible accounts of how norms influence cognition generally. Instead of adding defaults into causal models, it recommends clarifying the background constraints on what counts as an apt causal model, and attending to background cognitive biases about the availability of alternatives.

Publisher

Oxford University Press

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Causal modeling in multilevel settings: A new proposal;Philosophy and Phenomenological Research;2024-02-06

2. An event algebra for causal counterfactuals;Philosophical Studies;2023-10-26

3. Conjoined cases;Synthese;2023-05-31

4. Causal Stability in Moral Contexts;The Journal of Value Inquiry;2022-04-08

5. Preface and Acknowledgements;Freedom and Responsibility in Context;2021-10-21

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