Coherence, Belief Expansion and Bayesian Networks
Luc Bovens, Stephan Hartmann
Abstract
We construct a probabilistic coherence measure for information sets which determines a partial coherence ordering. This measure is applied in constructing a criterion for expanding our beliefs in the face of new information. A number of idealizations are being made which can be relaxed by an appeal to Bayesian Networks.
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