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Chapter 3 - Causal Modelling

Published online by Cambridge University Press:  20 October 2021

David A. Lagnado
David A. Lagnado
Affiliation:
University College London
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Summary

In Chapter 3 I introduce the basics of causal modelling and Bayes nets. I show how formal causal models support various types of inference, including prediction, diagnosis, intervention-based reasoning and counterfactuals. The framework serves several purposes: helping us to build formal models of legal cases, giving us a benchmark against which to assess human inference, and suggesting how people can improve their reasoning.

Keywords

Causal modelsBayes netsinferenceinterventionscounterfactualsactual causality
Type
Chapter
Information
Explaining the Evidence
How the Mind Investigates the World
 , pp. 32 - 73
Publisher: Cambridge University Press
Print publication year: 2021

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  • Causal Modelling
  • David A. Lagnado, University College London
  • Book: Explaining the Evidence
  • Online publication: 20 October 2021
  • Chapter DOI: https://doi.org/10.1017/9780511794520.004
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  • Causal Modelling
  • David A. Lagnado, University College London
  • Book: Explaining the Evidence
  • Online publication: 20 October 2021
  • Chapter DOI: https://doi.org/10.1017/9780511794520.004
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Causal Modelling
  • David A. Lagnado, University College London
  • Book: Explaining the Evidence
  • Online publication: 20 October 2021
  • Chapter DOI: https://doi.org/10.1017/9780511794520.004
Available formats
×