2 citations · 2 across the 4 of their papers we have counts for
4 papers
Inductive Inference and the Representation of Uncertainty
Norman C. Dalkey
The form and justification of inductive inference rules depend strongly on the representation of uncertainty. This paper examines one generic representation, namely, incomplete inf…
Models vs. Inductive Inference for Dealing With Probabilistic Knowledge
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…
The Inductive Logic of Information Systems
Norman C. Dalkey
An inductive logic can be formulated in which the elements are not propositions or probability distributions, but information systems. The logic is complete for information systems…
Entropy and Belief Networks
Norman C. Dalkey
The product expansion of conditional probabilities for belief nets is not maximum entropy. This appears to deny a desirable kind of assurance for the model. However, a kind of guar…