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Minds and Machines

, Volume 28, Issue 4, pp 787–793 | Cite as

Info-Metrics for Modeling and Inference

  • Amos Golan
Commentary
  • 78 Downloads

Abstract

Info-metrics is a framework for rational inference based on insufficient information. The complete info-metric framework, accompanied with many interdisciplinary examples and case studies, as well as graphical representations of the theory appear in the new book “Foundations of Info-Metrics: Modeling, Inference and Imperfect Information,” Oxford University Press, 2018. In this commentary, I describe that framework in general terms, demonstrate some of the ideas via simple examples, and provide arguments for using it to transform information into useful knowledge.

Keywords

Decision making Inference Information Info-metrics Modeling Optimization 

References

  1. Golan, A. (2018). Foundations of info-metrics: Modeling, inference, and imperfect information. Oxford: Oxford University Press.zbMATHGoogle Scholar
  2. Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.zbMATHGoogle Scholar
  3. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423.MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Info-Metrics Institute and EconomicsAmerican UniversityWashingtonUSA
  2. 2.Santa Fe InstituteSanta FeUSA
  3. 3.Pembroke CollegeOxfordUK

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