Publikation: Bayesian Nets Are All There Is To Causal Dependence
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2001
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MARIA CARLA GALAVOTTI, , ed. and others. Stochastic causality. Stanford: CSLI Publ., 2001, pp. 157-172. CSLI lecture notes. 131. ISBN 1-57586-321-9
Zusammenfassung
The paper displays the similarity between the theory of probabilistic causation developed by Glymour et al. since 1983 and mine developed since 1976: the core of both is that causal graphs are Bayesian nets. The similarity extends to the treatment of actions or interventions in the two theories. But there is also a crucial difference. Glymour et al. take causal dependencies as primitive and argue them to behave like Bayesian nets under wide circumstances. By contrast, I argue the behavior of Bayesian nets to be ultimately the defining characteristic of causal dependence.
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SPOHN, Wolfgang, 2001. Bayesian Nets Are All There Is To Causal Dependence. In: MARIA CARLA GALAVOTTI, , ed. and others. Stochastic causality. Stanford: CSLI Publ., 2001, pp. 157-172. CSLI lecture notes. 131. ISBN 1-57586-321-9BibTex
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year={2001},
title={Bayesian Nets Are All There Is To Causal Dependence},
number={131},
isbn={1-57586-321-9},
publisher={CSLI Publ.},
address={Stanford},
series={CSLI lecture notes},
booktitle={Stochastic causality},
pages={157--172},
editor={Maria Carla Galavotti},
author={Spohn, Wolfgang}
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