Models vs. Inductive Inference for Dealing With Probabilistic Knowledge

27 Mar 2013 Norman C. Dalkey

Two different approaches to dealing with probabilistic knowledge are examined -models and inductive inference. Examples of the first are: influence diagrams [1], Bayesian networks [2], log-linear models [3, 4]... (read more)

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