Characterizing Counterfactuals and Dependencies over (Generalized) Causal Teams

Notre Dame Journal of Formal Logic 63 (3):301-341 (2022)
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Abstract

We analyze the causal-observational languages that were introduced in Barbero and Sandu (2018), which allow discussing interventionist counterfactuals and functional dependencies in a unified framework. In particular, we systematically investigate the expressive power of these languages in causal team semantics, and we provide complete natural deduction calculi for each language. Furthermore, we introduce a generalized semantics which allows representing uncertainty about the causal laws, and we analyze the expressive power and proof theory of the causal-observational languages over this enriched semantics.

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Citations of this work

Embedding causal team languages into predicate logic.Fausto Barbero & Pietro Galliani - 2022 - Annals of Pure and Applied Logic 173 (10):103159.

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