  Entropic dynamics is a framework for defining dynamical systems that is
aligned with the principles of information theory. In an entropic dynamics
model for motion on a statistical manifold, we find that the rate of changes
for expected values is linear to the gradient of entropy with reciprocal
(symmetric) coefficients. Reciprocity principles have been useful in physics
since Onsager. Here we show how the entropic dynamics reciprocity is a
consequence of the information geometric structure of the exponential family,
hence it is a general property that can be extended to a broader class of
dynamical models.
