Measuring the Complexity of Continuous Distributions

Measuring the Complexity of Continuous Distributions

We extend previously proposed measures of complexity, emergence, and self-organization to continuous distributions using differential entropy. Given that the measures were based on Shannon’s information, the novel continuous complexity measures describe how a system’s predictability changes in terms...

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Bibliographic Details
Main Authors: Santamaría-Bonfil, Guillermo, Fernández, Nelson, Gershenson Garcia, Carlos
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Language:en_US
Published: MDPI AG 2017
Online Access:http://hdl.handle.net/1721.1/108711

Internet

http://hdl.handle.net/1721.1/108711

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