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A Measure of Synergy Based on Union Information.
- Source :
-
Entropy . Mar2024, Vol. 26 Issue 3, p271. 24p. - Publication Year :
- 2024
-
Abstract
- The partial information decomposition (PID) framework is concerned with decomposing the information that a set of (two or more) random variables (the sources) has about another variable (the target) into three types of information: unique, redundant, and synergistic. Classical information theory alone does not provide a unique way to decompose information in this manner and additional assumptions have to be made. One often overlooked way to achieve this decomposition is using a so-called measure of union information—which quantifies the information that is present in at least one of the sources—from which a synergy measure stems. In this paper, we introduce a new measure of union information based on adopting a communication channel perspective, compare it with existing measures, and study some of its properties. We also include a comprehensive critical review of characterizations of union information and synergy measures that have been proposed in the literature. [ABSTRACT FROM AUTHOR]
- Subjects :
- *INFORMATION measurement
*RANDOM variables
Subjects
Details
- Language :
- English
- ISSN :
- 10994300
- Volume :
- 26
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Entropy
- Publication Type :
- Academic Journal
- Accession number :
- 176302914
- Full Text :
- https://doi.org/10.3390/e26030271