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Info-Metrics for Modeling and Inference

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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.

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References

  • Golan, A. (2018). Foundations of info-metrics: Modeling, inference, and imperfect information. Oxford: Oxford University Press.

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  • Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.

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  • Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423.

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Correspondence to Amos Golan.

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Golan, A. Info-Metrics for Modeling and Inference. Minds & Machines 28, 787–793 (2018). https://doi.org/10.1007/s11023-018-9477-2

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  • DOI: https://doi.org/10.1007/s11023-018-9477-2

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