TY  - JOUR
A1  - Lizier, Joseph T.
A1  - Bertschinger, Nils
A1  - Jost, Jürgen
A1  - Wibral, Michael
T1  - Information decomposition of targeteffects from multi-source interactions: perspectives on previous, current and future work
T2  - Entropy
N2  - The formulation of the Partial Information Decomposition (PID) framework by Williams and Beer in 2010 attracted a significant amount of attention to the problem of defining redundant (or shared), unique and synergistic (or complementary) components of mutual information that a set of source variables provides about a target. This attention resulted in a number of measures proposed to capture these concepts, theoretical investigations into such measures, and applications to empirical data (in particular to datasets from neuroscience). In this Special Issue on “Information Decomposition of Target Effects from Multi-Source Interactions” at Entropy, we have gathered current work on such information decomposition approaches from many of the leading research groups in the field. We begin our editorial by providing the reader with a review of previous information decomposition research, including an overview of the variety of measures proposed, how they have been interpreted and applied to empirical investigations. We then introduce the articles included in the special issue one by one, providing a similar categorisation of these articles into: i. proposals of new measures; ii. theoretical investigations into properties and interpretations of such approaches, and iii. applications of these measures in empirical studies. We finish by providing an outlook on the future of the field.
KW  - mutual information
KW  - information decomposition
KW  - unique information
KW  - redundant information
KW  - complementary information
KW  - redundancy
KW  - synergy
Y1  - 2018
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/51480
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-514808
SN  - 1099-4300
N1  - This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
VL  - 20
IS  - 4, Art. 307
SP  - 1
EP  - 10
PB  - MDPI
CY  - Basel
ER  -