(Information Processing Across the Sciences) Info-Metrics in the Natural Sciences and Its Implications for the Social Sciences
نویسنده
چکیده
Info-Metrics in the Natural Sciences and Its Implications for the Social Sciences Amos Golan (American University and Info-Metrics) The study of information, the philosophy of information and entropy as a method of inference provides a unified approach to inference and learning across the disciplines. The Info-Metrics Institute promotes the study of information, information processing and optimal decision rules based on efficient use of information. 1. Workshop objectives: (general) In this (inherently interdisciplinary) workshop we wish to: A. Lay out the basics of info-metrics in the natural sciences. B. Study the state of information-theoretic estimation and data analysis in some areas of the natural sciences. C. Discuss some of the basic philosophy of information and information processing. D. Discuss the implications of info-metrics in the natural sciences to the social sciences in general (and to economics, econometrics and finance). Among the basic questions we want to reflect on are:
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