Understanding Interdependency Through Complex Information Sharing
The interactions between three or more random variables are often nontrivial, poorly understood and, yet, are paramount for future advances in fields such as network information theory, neuroscience and genetics. In this work, we analyze these interactions as different modes of information sharing....
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-01-01
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Series: | Entropy |
Subjects: | |
Online Access: | http://www.mdpi.com/1099-4300/18/2/38 |