Interventionist counterfactuals on causal teams

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

We introduce an extension of team semantics which provides a framework for the logic of manipulationist theories of causation based on structural equation models, such as Woodward's and Pearl's; our causal teams incorporate (partial or total) information about functional dependencies that are invariant under interventions. We give a unified treatment of observational and causal aspects of causal models by isolating two operators on causal teams which correspond, respectively, to conditioning and to interventionist counterfactual implication. We then introduce formal languages for deterministic and probabilistic causal discourse, and show how various notions of cause (e.g. direct and total causes) may be defined in them.
Through the tuning of various constraints on structural equations (recursivity, existence and uniqueness of solutions, full or partial definition of the functions), our framework can capture different causal models. We give an overview of the inferential aspects of the recursive, fully defined case; and we dedicate some attention to the recursive, partially defined case, which involves a shift of attention towards nonclassical truth values.
Originalspråkengelska
Titel på gästpublikationProceedings CREST 2018
Antal sidor15
Utgivningsdatum3 jan 2019
Sidor16-30
StatusPublicerad - 3 jan 2019
MoE-publikationstypEj behörig
EvenemangCREST 2018: 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology - Thessaloniki, Grekland
Varaktighet: 20 apr 201920 apr 2019
Konferensnummer: 3

Publikationsserier

NamnLogic in Computer Science (cs.LO)

Bibliografisk information

arXiv:1901.00073

Citera det här

Barbero, F., & Sandu, G. (2019). Interventionist counterfactuals on causal teams. I Proceedings CREST 2018 (s. 16-30). (Logic in Computer Science (cs.LO)).
Barbero, Fausto ; Sandu, Gabriel. / Interventionist counterfactuals on causal teams. Proceedings CREST 2018. 2019. s. 16-30 (Logic in Computer Science (cs.LO)).
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abstract = "We introduce an extension of team semantics which provides a framework for the logic of manipulationist theories of causation based on structural equation models, such as Woodward's and Pearl's; our causal teams incorporate (partial or total) information about functional dependencies that are invariant under interventions. We give a unified treatment of observational and causal aspects of causal models by isolating two operators on causal teams which correspond, respectively, to conditioning and to interventionist counterfactual implication. We then introduce formal languages for deterministic and probabilistic causal discourse, and show how various notions of cause (e.g. direct and total causes) may be defined in them. Through the tuning of various constraints on structural equations (recursivity, existence and uniqueness of solutions, full or partial definition of the functions), our framework can capture different causal models. We give an overview of the inferential aspects of the recursive, fully defined case; and we dedicate some attention to the recursive, partially defined case, which involves a shift of attention towards nonclassical truth values.",
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Barbero, F & Sandu, G 2019, Interventionist counterfactuals on causal teams. i Proceedings CREST 2018. Logic in Computer Science (cs.LO), s. 16-30, CREST 2018, Thessaloniki, Grekland, 20/04/2019.

Interventionist counterfactuals on causal teams. / Barbero, Fausto; Sandu, Gabriel.

Proceedings CREST 2018. 2019. s. 16-30 (Logic in Computer Science (cs.LO)).

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

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AB - We introduce an extension of team semantics which provides a framework for the logic of manipulationist theories of causation based on structural equation models, such as Woodward's and Pearl's; our causal teams incorporate (partial or total) information about functional dependencies that are invariant under interventions. We give a unified treatment of observational and causal aspects of causal models by isolating two operators on causal teams which correspond, respectively, to conditioning and to interventionist counterfactual implication. We then introduce formal languages for deterministic and probabilistic causal discourse, and show how various notions of cause (e.g. direct and total causes) may be defined in them. Through the tuning of various constraints on structural equations (recursivity, existence and uniqueness of solutions, full or partial definition of the functions), our framework can capture different causal models. We give an overview of the inferential aspects of the recursive, fully defined case; and we dedicate some attention to the recursive, partially defined case, which involves a shift of attention towards nonclassical truth values.

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Barbero F, Sandu G. Interventionist counterfactuals on causal teams. I Proceedings CREST 2018. 2019. s. 16-30. (Logic in Computer Science (cs.LO)).