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Probabilistic Causation Without Probability

  • Paul W. Holland
Part of the Synthese Library book series (SYLI, volume 234)

Abstract

The failure of Hume’s ‘constant conjunction’ to describe apparently causal relations in science and everyday life has led to various ‘probabilistic’ theories of causation of which (Suppes 1970) is an important example. A formal model that was developed for the analysis of comparative agricultural experiments in the first quarter of this century can be used to give an alternative account of ‘probabilistic causality’ that does not take a stand as to the stochastic or deterministic nature of the causal connection. The approach has many applications in social, behavioral and medical science. This paper discusses the formal model in detail, applies it to ‘probabilistic causation’ and compares the resulting theory to Suppes’s theory.

Keywords

Causal Effect Causal Inference Granger Causality Prima Facie Causal Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1994

Authors and Affiliations

  • Paul W. Holland
    • 1
  1. 1.Graduate School of Education, EPUniversity of CaliforniaBerkeleyUSA

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