3 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
Statistical Dark Matter: Synergy is everywhere but is hard to capture
Alberto Liardi, Fernando E. Rosas, Daniele Marinazzo +3
The information-theoretic construct of synergy refers to the statistical structure that is contained in three or more variables, but not in any subset of them. Here we leverage rec…
The mathematical landscape of partial information decomposition: A comprehensive review of properties and measures
Alberto Liardi, Keenan J. A. Down, George Blackburne +2
Partial Information Decomposition (PID) has become one of the most prominent information-theoretic frameworks for describing the structure and quality of information in complex sys…
A scalable estimator of higher-order information in complex dynamical systems
Alberto Liardi, George Blackburne, Hardik Rajpal +2
Our understanding of complex systems rests on our ability to characterise how they perform distributed computation and integrate information. Advances in information theory have in…
Simple physical systems as a reference for multivariate information dynamics
Alberto Liardi, Madalina I. Sas, George Blackburne +3
Understanding a complex system entails capturing the non-trivial collective phenomena that arise from interactions between its different parts. Information theory is a flexible and…
Null models for comparing information decomposition across complex systems
Alberto Liardi, Fernando E. Rosas, Robin L. Carhart-Harris +3
A key feature of information theory is its universality, as it can be applied to study a broad variety of complex systems. However, many information-theoretic measures can vary sig…