Uncertainty in Artificial Intelligence
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The Inductive Logic of Information Systems
Norman Dalkey
Abstract:
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 with binary hypotheses, i.e., it applies to all such systems. It is not complete for information systems with more than two hypotheses, but applies to a subset of such systems. The logic is inductive in that conclusions are more informative than premises. Inferences using the formalism have a strong justification in terms of the expected value of the derived information system.
Keywords: Inductive Logic
Pages: 375-386
PS Link:
PDF Link: /papers/87/p375-dalkey.pdf
BibTex:
@INPROCEEDINGS{Dalkey87,
AUTHOR = "Norman Dalkey ",
TITLE = "The Inductive Logic of Information Systems",
BOOKTITLE = "Uncertainty in Artificial Intelligence 3 Annual Conference on Uncertainty in Artificial Intelligence (UAI-87)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1987",
PAGES = "375--386"
}


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