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21 de may. de 2024 · The counterfactual simulation model (CSM) captures people’s causal judgments about physical events and responsibility judgments about social events. In the physical domain, the CSM predicts people’s judgments about dynamic collision events, about omissive causes, and about physical support.
24 de may. de 2024 · In recent research supported by Stanford HAI, Gerstenberg has shown that humans’ capacity for counterfactual simulation – thinking through what would have happened if a causal agent weren’t present – is critical for judging causation and assigning responsibility.
30 de may. de 2024 · T. Blom, S. Bongers, and J. M. Mooij. Beyond structural causal models: Causal constraints models. In Proceedings of 35th Conference on Uncertainty in Artificial Intelligence (UAI), 2019. Google Scholar; S. Cole and C. Frangakis. The consistency statement in causal inference: A definition or an assumption? Epidemiology, 20(1):3-5, Jan. 2009.
29 de may. de 2024 · This paper provides a general introduction to the use of causal models in the metaphysics of causation, specifically structural equation models and directed acyclic graphs.
18 de may. de 2024 · The 2021 Nobel Prize in Economics recognized a theory of causal inference, which deserves more attention from philosophers. To that end, I develop a dialectic that extends the Lewis-Stalnaker...
18 de may. de 2024 · The 2021 Nobel Prize in Economics recognized a theory of causal inference, which deserves more attention from philosophers. To that end, I develop a dialectic that extends the Lewis-Stalnaker debate on a logical principle called Conditional Excluded Middle (CEM).
18 de may. de 2024 · But we also discuss doctrines that employ counterfactuals in theories of rational decision, as well as doctrines that explain what it is to be a law of nature in terms of counterfactuals. We conclude by drawing some morals about the use of counterfactuals in philosophical theorizing more generally. Like.
