Qualifying Causes as Pertinent

Open Access
Authors
Publication date 2018
Host editors
  • T.T. Rogers
  • M. Rau
  • X. Zhu
  • C.W. Kalish
Book title COGSCI 2018
Book subtitle Changing/Minds : 40th Annual Cognitive Science Society Meeting : Madison, WisconChanging/Minds : 40th Annual Cognitive Science Society Meeting : Madison, Wiscsin, USA, July 25-28
ISBN
  • 9781510872059
ISBN (electronic)
  • 9780991196784
Event 40th Annual Meeting of the Cognitive Science Society: Changing Minds, CogSci 2018
Volume | Issue number 5
Pages (from-to) 2491-2496
Number of pages 6
Publisher Austin, TX: Cognitive Science Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

Several computational methods have been proposed to evaluate the relevance of an instantiated cause to an observed consequence. The paper reports on an experiment to investigate the adequacy of some of these methods as descriptors of human judgments about causal relevance.

Document type Conference contribution
Language English
Published at https://cognitivesciencesociety.org/wp-content/uploads/2019/01/cogsci18_proceedings.pdf
Other links https://www.proceedings.com/41353.html https://www.scopus.com/pages/publications/85121931052
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Qualifying Causes as Pertinent (Final published version)
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