A Novel Approach to the Partial Information Decomposition

We consider the “partial information decomposition” (PID) problem, which aims to decompose the information that a set of source random variables provide about a target random variable into separate redundant, synergistic, union, and unique components. In the first part of this paper, we propose a ge...

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Main Author: Artemy Kolchinsky
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/3/403
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author Artemy Kolchinsky
author_facet Artemy Kolchinsky
author_sort Artemy Kolchinsky
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description We consider the “partial information decomposition” (PID) problem, which aims to decompose the information that a set of source random variables provide about a target random variable into separate redundant, synergistic, union, and unique components. In the first part of this paper, we propose a general framework for constructing a multivariate PID. Our framework is defined in terms of a formal analogy with intersection and union from set theory, along with an ordering relation which specifies when one information source is more informative than another. Our definitions are algebraically and axiomatically motivated, and can be generalized to domains beyond Shannon information theory (such as algorithmic information theory and quantum information theory). In the second part of this paper, we use our general framework to define a PID in terms of the well-known Blackwell order, which has a fundamental operational interpretation. We demonstrate our approach on numerous examples and show that it overcomes many drawbacks associated with previous proposals.
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spelling doaj.art-c70b9a6bd64a4a5bbf32bfb57bc231e72023-11-30T21:03:09ZengMDPI AGEntropy1099-43002022-03-0124340310.3390/e24030403A Novel Approach to the Partial Information DecompositionArtemy Kolchinsky0Santa Fe Institute, Santa Fe, NM 87501, USAWe consider the “partial information decomposition” (PID) problem, which aims to decompose the information that a set of source random variables provide about a target random variable into separate redundant, synergistic, union, and unique components. In the first part of this paper, we propose a general framework for constructing a multivariate PID. Our framework is defined in terms of a formal analogy with intersection and union from set theory, along with an ordering relation which specifies when one information source is more informative than another. Our definitions are algebraically and axiomatically motivated, and can be generalized to domains beyond Shannon information theory (such as algorithmic information theory and quantum information theory). In the second part of this paper, we use our general framework to define a PID in terms of the well-known Blackwell order, which has a fundamental operational interpretation. We demonstrate our approach on numerous examples and show that it overcomes many drawbacks associated with previous proposals.https://www.mdpi.com/1099-4300/24/3/403partial information decompositionredundancysynergy
spellingShingle Artemy Kolchinsky
A Novel Approach to the Partial Information Decomposition
Entropy
partial information decomposition
redundancy
synergy
title A Novel Approach to the Partial Information Decomposition
title_full A Novel Approach to the Partial Information Decomposition
title_fullStr A Novel Approach to the Partial Information Decomposition
title_full_unstemmed A Novel Approach to the Partial Information Decomposition
title_short A Novel Approach to the Partial Information Decomposition
title_sort novel approach to the partial information decomposition
topic partial information decomposition
redundancy
synergy
url https://www.mdpi.com/1099-4300/24/3/403
work_keys_str_mv AT artemykolchinsky anovelapproachtothepartialinformationdecomposition
AT artemykolchinsky novelapproachtothepartialinformationdecomposition