Dynamic Complexity Measures: definition and calculation
نویسنده
چکیده
This work is a generalization of the López-Ruiz, Mancini and Calbet (LMC); and Shiner, 1 Davison and Landsberg (SDL) complexity measures, considering that the state of a system or process 2 is represented by a dynamical variable during a certain time interval. As the two complexity 3 measures are based on the calculation of informational entropy, an equivalent information source 4 is defined and, as time passes, the individual information associated to the measured parameter is 5 the seed to calculate instantaneous LMC and SDL measures. To show how the methodology works, 6 an example with economic data is presented. 7
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