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Causal relevance

  • Glenn Shafer
Invited Lectures
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1093)

Abstract

Concepts of causal relevance and irrelevance are readily formulated in the context of Bayes nets, but these formulations have significant shortcomings. Most importantly, they do not allow for the great variety that can be observed in the temporal configuration of causally related entities. For example, they deal awkwardly with progressive causation, where continued action of a cause continues to enhance an effect. This article discusses how such subtleties can be handled when we look beyond Bayes nets to a more fundamental structure: nature's probability tree.

Keywords

Bayes net causality probability tree relevance refinement sign simplification tracking 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Glenn Shafer
    • 1
  1. 1.Department of Accounting and Information Systems Faculty of ManagementRutgers UniversityNewark

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