Abstract
This article develops an ergodic theory of freedom and its measurement. The key idea is that freedom and uncertainty are inextricably entwined. Measuretheoretic isomorphism of stationary processes is a natural way of identifying at an abstract level identity of the structure of uncertainty, which can be measured by the entropy rate of a stationary process. Various empirical examples of markets and elections are considered, as well as the Kantian, as opposed to utilitarian, philosophical framework of the general ideas.
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Suppes, P. The nature and measurement of freedom. Soc Choice Welfare 13, 183–200 (1996). https://doi.org/10.1007/BF00183350
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DOI: https://doi.org/10.1007/BF00183350