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A Logic of Information Systems

  • N. C. Dalkey
Part of the Fundamental Theories of Physics book series (FTPH, volume 31-32)

Abstract

A logic can be formulated with information systems as elements. The calculus of this logic is similar to, but not identical with, Boolean algebra. The logic is inductive—conclusions have more information than premises. Inferences have a strong justification; they are valid for all proper scoring rules.

Keywords

Boolean Algebra Information System Payoff Function Inductive Logic Canonical Representation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Birkhoff, G. (1940). Lattice Theory. American Mathematical Society (Colloquium Publications, 25), New York.Google Scholar
  2. Dalkey, N.C. (1980). The Aggregation of Probability Estimates. UCLA-ENG-CSL-802S.Google Scholar
  3. Dalkey, N.C. (1985). Inductive Logic and the Maximum Entropy Principle. In Maximum Entropy and Bayesian Methods in Inverse Problems, eds. C. Ray Smith & W.T. Grundy. Boston: D. Reidel Publishing Co.Google Scholar
  4. Dalkey, N.C. (1987). Information Systems. UCLA-ENG-CSL Report, in preparation.Google Scholar
  5. LaValle,. (1978). Fundamentals of Decision Analysis. New York: Rhinehart & Winston.zbMATHGoogle Scholar

Copyright information

© Kluwer Academic Publishers 1988

Authors and Affiliations

  • N. C. Dalkey
    • 1
  1. 1.UCLA Cognitive Systems LaboratoryLos AngelesUSA

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