Coherence, Belief Expansion and Bayesian Networks

In C. Baral (ed.), Proceedings of the 8th International Workshop on Non-Monotonic Reasoning, NMR'2000 (2000)
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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.

Author Profiles

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

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