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Characterizing counterfactuals and dependencies over causal and generalized causal teams
[article]
2022
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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
doi:10.48550/arxiv.2201.08750
fatcat:d74ymlsagnfthetdnauozweomu