A Package for Measuring Emergence, Self-organization, and Complexity Based on Shannon Entropy

TitleA Package for Measuring Emergence, Self-organization, and Complexity Based on Shannon Entropy
Publication TypeJournal Article
Year of Publication2017
AuthorsSantamaría-Bonfil, G, Gershenson, C, Fernández, N
JournalFrontiers in Robotics and AI
Volume4
Pagination10
ISSN2296-9144
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's information and differential entropy, respectively. Examples from different datasets and probability distributions are used to illustrate the usage of the code.

URLhttp://journal.frontiersin.org/article/10.3389/frobt.2017.00010
DOI10.3389/frobt.2017.00010
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