Bayesian networks are normally given one of two types of foundations: they are either treated purely formally as an abstract way of representing probability functions, or they are interpreted, with some causal interpretation given to the graph in a network and some standard interpretation of probability given to the probabilities specified in the network. In this chapter I argue that current foundations are problematic, and put forward new foundations which involve aspects of both the interpreted and the formal approaches.
CITATION STYLE
Williamson, J. (2001). Foundations for Bayesian Networks (pp. 75–115). https://doi.org/10.1007/978-94-017-1586-7_4
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