A Package for Measuring emergence, Self-organization, and Complexity Based on Shannon entropy

Gershenson, Carlos; Fernández, Nelson

DSpace Principal
→
IIMAS
→
Artículos
→
Ver ítem

dc.contributor.author	Gershenson, Carlos
dc.contributor.author	Fernández, Nelson
dc.coverage.spatial	US
dc.creator	Santamaria-Bonfil, Guillermo
dc.date.accessioned	2021-11-13T00:01:53Z
dc.date.available	2021-11-13T00:01:53Z
dc.date.issued	2017-03-28
dc.identifier.citation	Santamaría-Bonfil G, Gershenson C and Fernández N (2017) A Package for Measuring Emergence, Self-organization, and Complexity Based on Shannon Entropy. Front. Robot. AI 4:10. doi: 10.3389/frobt.2017.00010
dc.identifier.uri	http://www.ru.iimas.unam.mx/handle/IIMAS_UNAM/ART11
dc.description.abstract	We present a set of Matlab/Octave functions to compute measures of emergence, self-organization, and complexity applied to discrete and continuous data. These measures are based on Shannon’s information and differential entropy. Examples from different datasets and probability distributions are provided to show how to use our proposed code.
dc.format	application/pdf
dc.language.iso	eng
dc.publisher	Frontiers Media S.A.
dc.rights	openAccess
dc.rights.uri	http://creativecommons.org/licenses/by/4.0
dc.source	Frontiers in Robotics and AI(2296-9144), Vol. 4(10), (2017)
dc.subject	emergence
dc.subject	self-organization
dc.subject	complexity
dc.subject	machine learning datasets
dc.subject.classification	Ingeniería y Tecnología
dc.title	A Package for Measuring emergence, Self-organization, and Complexity Based on Shannon entropy
dc.type	article
dc.type	publishedVersion
dcterms.creator	SANTAMARIA BONFIL, GUILLERMO::cvu:: 299682
dcterms.creator	GERSHENSON GARCIA, CARLOS::cvu::39196
dcterms.creator	Fernández, Nelson::orcid::0000-0002-6703-2803
dc.audience	researchers
dc.audience	students
dc.audience	teachers
dc.identifier.doi	http://dx.doi.org/10.3389/frobt.2017.00010
dc.relation.ispartofjournal	https://www.frontiersin.org/journals/robotics-and-ai