Abstract
For systems whose uncertainty is characterized by a lower and upper bound on each parameter, a natural definition of the ‘freedom’ of each parameter is the difference between those two bounds. This definition may be extended to provide a calculus of freedom for systems of such parameters, and this paper provides that extension. The resulting calculus may be used for evaluating collective human freedom under partial constraints on choices, and those applications comprise the examples used to illustrate general principles. Effective algorithms also are described for computing collective freedom in complex systems.
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