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Expected Float Entropy Minimisation (view source)
Revision as of 19:51, 23 November 2021
, 19:51, 23 November 2021no edit summary
For a given system, let <math>\widehat{S}</math> denote the set of all possible ways to view the system as a collection of subsystems. Let <math>\mathcal{X}\in\widehat{S}</math>, and define
:<math>\mu(\mathcal{X},P):=\left(\sum_{X\in\mathcal{X}}efe(\mathfrak{R}_{X},\mathfrak{U}_{X},P_{X})\right)-efe(\mathfrak{R},\mathfrak{U},P),</math>
where <math>P_{X}</math> is the marginal probability distribution for the subsystem <math>X</math>, each term is individually minimized with respect to the choice of primary models used and the last term is the minimum EFE for the whole system. Furthermore, define
:<math>M(P):=\min_{\mathcal{X}\in\widehat{S}}\mu(\mathcal{X},P).</math>
The definition of Model Unity is then as follows.
