期刊论文详细信息
Entropy | 卷:17 |
Quantifying Redundant Information in Predicting a Target Random Variable | |
Tracey Ho1  Virgil Griffith2  | |
[1] Computer Science and Electrical Engineering, Caltech, Pasadena, CA 91125, USA; | |
[2] School of Computing, National University of Singapore, Singapore 119077, Singapore; | |
关键词: synergy; information theory; complex systems; irreducibility; synergistic information; intersection-information; | |
DOI : 10.3390/e17074644 | |
来源: DOAJ |
【 摘 要 】
We consider the problem of defining a measure of redundant information that quantifies how much common information two or more random variables specify about a target random variable. We discussed desired properties of such a measure, and propose new measures with some desirable properties.
【 授权许可】
Unknown