Skip to main content
Top

2017 | OriginalPaper | Chapter

14. Causality

Authors : Tshilidzi Marwala, Evan Hurwitz

Published in: Artificial Intelligence and Economic Theory: Skynet in the Market

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Causality is a powerful concept which is at the heart of markets. Often, one wants to establish whether a particular attribute causes another. As human beings, we have perceived causality through correlation. Because of this fact, causality has often been confused for correlation. This chapter studies the evolution of causality including the influential work of David Hume and its relevance to economics and finance. It studies various concepts and models of causality such as transmission, Granger and Pearl models of causality. The transmission model of causality states that for causality to exist, there should be a flow of information from the cause to the effect. Simple example of the study on the link between circumcision and risk of HIV are used in this chapter.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
go back to reference Anderson GL, Scott J (2012) Toward an intersectional understanding of process causality and Anderson GL, Scott J (2012) Toward an intersectional understanding of process causality and
go back to reference Bishop C (2006) Pattern recognition and machine learning. Springer, Berlin. ISBN 0-387-31073-8MATH Bishop C (2006) Pattern recognition and machine learning. Springer, Berlin. ISBN 0-387-31073-8MATH
go back to reference Dowe TP (1992) Wesley Salmon’s process theory of causality and conserved quantity theory. Philos Sci 59:195–216CrossRef Dowe TP (1992) Wesley Salmon’s process theory of causality and conserved quantity theory. Philos Sci 59:195–216CrossRef
go back to reference Ehring D (1986) The transference theory of causation. Synthese 67:249–258CrossRef Ehring D (1986) The transference theory of causation. Synthese 67:249–258CrossRef
go back to reference Geiger D, Pearl J (2013) On the logic of causal models. Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988). ArXiv:1304.2355. Last accessed 1 May 2017 Geiger D, Pearl J (2013) On the logic of causal models. Proceedings of the Fourth Conference on Uncertainty in Artificial Intelligence (UAI1988). ArXiv:1304.2355. Last accessed 1 May 2017
go back to reference Granger CWJ (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424–438CrossRefMATH Granger CWJ (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37:424–438CrossRefMATH
go back to reference Hume D (1896) In: Selby-Bigge (ed) A treatise of human nature. Clarendon Press Hume D (1896) In: Selby-Bigge (ed) A treatise of human nature. Clarendon Press
go back to reference Kramer MA (1992) Autoassociative neural networks. Comput Chem Eng 16(4):313–328CrossRef Kramer MA (1992) Autoassociative neural networks. Comput Chem Eng 16(4):313–328CrossRef
go back to reference Marwala T (2009) Computational intelligence for missing data imputation, estimation and management: Knowledge optimization techniques Information Science Reference Imprint. IGI Global Publications, New York, USACrossRef Marwala T (2009) Computational intelligence for missing data imputation, estimation and management: Knowledge optimization techniques Information Science Reference Imprint. IGI Global Publications, New York, USACrossRef
go back to reference Marwala T (2015) Causality, correlation, and artificial intelligence for rational decision making. World Scientific, Singapore. ISBN 978-9-814-63086-3CrossRefMATH Marwala T (2015) Causality, correlation, and artificial intelligence for rational decision making. World Scientific, Singapore. ISBN 978-9-814-63086-3CrossRefMATH
go back to reference Marwala T (2014) Artificial intelligence techniques for rational decision making. Springer, Heidelberg. ISBN 978-3-319-11423-1CrossRefMATH Marwala T (2014) Artificial intelligence techniques for rational decision making. Springer, Heidelberg. ISBN 978-3-319-11423-1CrossRefMATH
go back to reference Pearl J (2000) Causality: models, reasoning, and inference. Cambridge University Press Pearl J (2000) Causality: models, reasoning, and inference. Cambridge University Press
go back to reference Rios A, Kabuka M (1995) Image compression with a dynamic autoassociative neural network. Math Comput Model 21(1–2):159–171CrossRef Rios A, Kabuka M (1995) Image compression with a dynamic autoassociative neural network. Math Comput Model 21(1–2):159–171CrossRef
go back to reference Salmon W (1984) Scientific explanation and the causal structure of the world. Princeton University Press, Princeton Salmon W (1984) Scientific explanation and the causal structure of the world. Princeton University Press, Princeton
go back to reference Spirtes P (1996). Using d-separation to calculate zero partial correlations in linear models with correlated errors. Carnegie Mellon University Technical Report Spirtes P (1996). Using d-separation to calculate zero partial correlations in linear models with correlated errors. Carnegie Mellon University Technical Report
go back to reference Suppes P (1970) A probabilistic theory of causality. North-Holland Publishing Company, Amsterdam Suppes P (1970) A probabilistic theory of causality. North-Holland Publishing Company, Amsterdam
Metadata
Title
Causality
Authors
Tshilidzi Marwala
Evan Hurwitz
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-66104-9_14

Premium Partner