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\section{Metrics} \section{Measures}  \subsection{Emergence} The measures apply in this paper, have recently proposed and compared with other previously find in literature (Fernández et al., 2012; Gershenson and Fernández, 2012); More refined measures based on axioms have been presented in Fernández et al., (2013).  Emergence refers to properties of a phenomenon that are present now and were not before. If we suppose these properties as non-trivial, we could say it is harder now than before to reproduce the phenomenon  \subsection{Complextiy}     As we have mentioned, complexity comes from {\it Latin} plexus, which means interwoven. Thus, something complex is difficult to separate. This means that its components are interdependent, i.e. their future is partly determined by their interactions. Thus, studying the components in isolation—as reductionistic approaches attempt—is not sufficient to describe the dynamics of complex systems.  As measure we can define complexity C as the balance between change (chaos) and stability (order). We have just defined such measures: emergence and self-organization.As function C:->..  Hence we propose: C = 4 · E · S.