Bayesian Networks in Philosophy

In Benedikt Löwe, Wolfgang Malzkorn & Thoralf Räsch (eds.), Foundations of The Formal Sciences II. Applications of Mathematical Logic in Philosophy and Linguistics [Trends in Logic]. Kluwer Academic Publishers. pp. 39-46 (2002)
  Copy   BIBTEX


There is a long philosophical tradition of addressing questions in philosophy of science and epistemology by means of the tools of Bayesian probability theory (see Earman (1992) and Howson and Urbach (1993)). In the late '70s, an axiomatic approach to conditional independence was developed within a Bayesian framework. This approach in conjunction with developments in graph theory are the two pillars of the theory of Bayesian Networks, which is a theory of probabilistic reasoning in artificial intelligence. The theory has been very successful over the last two decades and has found a wide array of applications ranging from medical diagnosis to safety systems for hazardous industries.



    Upload a copy of this work     Papers currently archived: 91,998

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library


Added to PP

69 (#237,011)

6 months
7 (#431,609)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Stephan Hartmann
Ludwig Maximilians Universität, München
Luc Bovens
University of North Carolina, Chapel Hill

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references