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A Logic of Information Systems

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Part of the book series: Fundamental Theories of Physics ((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.

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References

  • Birkhoff, G. (1940). Lattice Theory. American Mathematical Society (Colloquium Publications, 25), New York.

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  • Dalkey, N.C. (1980). The Aggregation of Probability Estimates. UCLA-ENG-CSL-802S.

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  • 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.

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  • Dalkey, N.C. (1987). Information Systems. UCLA-ENG-CSL Report, in preparation.

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  • LaValle,. (1978). Fundamentals of Decision Analysis. New York: Rhinehart & Winston.

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© 1988 Kluwer Academic Publishers

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Dalkey, N.C. (1988). A Logic of Information Systems. In: Erickson, G.J., Smith, C.R. (eds) Maximum-Entropy and Bayesian Methods in Science and Engineering. Fundamental Theories of Physics, vol 31-32. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3049-0_16

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  • DOI: https://doi.org/10.1007/978-94-009-3049-0_16

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7871-9

  • Online ISBN: 978-94-009-3049-0

  • eBook Packages: Springer Book Archive

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