@article {10.3389/frobt.2017.00010,
	title = {A Package for Measuring Emergence, Self-organization, and Complexity Based on Shannon Entropy},
	journal = {Frontiers in Robotics and AI},
	volume = {4},
	year = {2017},
	pages = {10},
	abstract = {We present Matlab/Octave functions to calculate measures of emergence, self-organization, and complexity of discrete and continuous data. The measures are based on Shannon{\textquoteright}s information and differential entropy, respectively. Examples from different datasets and probability distributions are used to illustrate the usage of the code.},
	issn = {2296-9144},
	doi = {10.3389/frobt.2017.00010},
	url = {http://journal.frontiersin.org/article/10.3389/frobt.2017.00010},
	author = {Santamar{\'\i}a-Bonfil, Guillermo and Gershenson, Carlos and Fern{\'a}ndez, Nelson}
}
