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Non-Markovian causality in the social sciences with some theorems on transitivity
Synthese 68 (1):129 - 140 (1986)
Abstract
The author argues for the importance of non-Markovian causality in the social sciences because Markovian conditions often cannot be satisfied. Two theorems giving conditions for non-Markovian causes to be transitive are proved. Applications of non-Markovian causality in psychology and economics are outlined.My notes
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Citations of this work
A New Condition for Transitivity of Probabilistic Support.David Atkinson & Jeanne Peijnenburg - 2021 - Erkenntnis 88 (1):253-265.
Screening off generalized: Reichenbach’s legacy.David Atkinson & Jeanne Peijnenburg - 2021 - Synthese 199 (3-4):8335-8354.
A New Condition for Transitivity of Probabilistic Support.David Atkinson & Jeanne Peijnenburg - 2021 - Erkenntnis (1):1-13.
Should causal models always be Markovian? The case of multi-causal forks in medicine.Donald Gillies & Aidan Sudbury - 2013 - European Journal for Philosophy of Science 3 (3):275-308.
Hesse’s Condition for Transitivity of Probabilistic Support: A Friendly Reminder.Jakob Koscholke - forthcoming - Erkenntnis:1-11.
References found in this work
A Probabilistic Theory of Causality.P. Suppes - 1973 - British Journal for the Philosophy of Science 24 (4):409-410.
Probabilistic causality and the question of transitivity.Ellery Eells & Elliott Sober - 1983 - Philosophy of Science 50 (1):35-57.
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