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Expected Float Entropy Minimisation (view source)
Revision as of 10:54, 4 May 2020
, 10:54, 4 May 2020no edit summary
is an element of <math>\Psi_{S}</math>.
For <math>U\in\Psi_{V}</math> and <math>R\in\Psi_{S}</math>, the '''Eloat Float Entropy''' of a state of the system <math>S_{i}\in\Omega_{S,V}</math>, relative to <math>U</math> and <math>R</math>, is defined as
:<math>fe(R,U,S_{i}):=\log_{2}(\#\{S_{j}\in\Omega_{S,V}\colon d(R,R\{U,S_{j}\})\leq d(R,R\{U,S_{i}\})\})</math>,
where <math>d</math> is a metric given by a [https://en.wikipedia.org/wiki/Matrix_norm/ matrix norm] on the elements of <math>\Psi_{S}</math> in matrix form. In the article Quasi-Conscious Multivariate Systems<ref name="Mason2016" /> the <math>L_{1}</math> norm is used. The article also includes a more general definition of Float Entropy called Multirelational Float Entropy and the nodes of the system can be larger structures than individual neurons.
