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date: 09 August 2020

Abstract and Keywords

‘Causal modelling’ is a general term that applies to a wide variety of formal methods for representing, and facilitating inferences about, causal relationships. The end of the twentieth century saw an explosion of work on causal modelling, with contributions from such fields as statistics, computer science, and philosophy; as well as from more subject-specific disciplines such as econometrics and epidemiology. This article focuses on two programmes that have attracted considerable philosophical attention, one due to the computer scientist Judea Pearl and his collaborators, and the other to the philosophers Peter Spirtes, Clark Glymour, and Richard Scheines. It offers a much simplified presentation of causal models that emphasizes various points of philosophical interest.

Keywords: causal modelling, causal relationships, inferences, statistics, computer science, philosophical interest

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