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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Golan, A. (2018). Foundations of info-metrics: Modeling, inference, and imperfect information. Oxford: Oxford University Press.
Popper, K. R. (1959). The logic of scientific discovery. London: Hutchinson.
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Golan, A. Info-Metrics for Modeling and Inference. Minds & Machines 28, 787–793 (2018). https://doi.org/10.1007/s11023-018-9477-2
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11023-018-9477-2