Causal and Bayesian Networks

  • Finn V. Jensen
Part of the Statistics for Engineering and Information Science book series (ISS)

Abstract

The following is an example of reasoning, which humans do daily. “In the morning, my car will not start. I can hear the starter turn, but nothing happens. There may be several reasons for my problem. I can hear the starter roll, so there must be power in the battery. Therefore, the most probable causes are that the fuel has been stolen overnight or that the spark plugs are dirty. It may also be due to dirt in the carburetor, a leak in the ignition system, or something more serious. To find out, I first look at the fuel meter. It shows full, so I decide to clean the spark plugs.”

Keywords

Bayesian Network Directed Acyclic Graph Chain Rule Conditional Independence Causal Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Finn V. Jensen
    • 1
  1. 1.Department of Computer SciencesAalborg UniversityAalborg ØDenmark

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