Extends linear response theory to nonautonomous systems and applies it to optimal fingerprinting for attributing changes to multiple forcings in time-dependent backgrounds, with numerical tests on a climate model.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
The authors propose Recursive Hierarchical Networks and claim to prove a law of functional evolution showing irreversible progression through structure, regulation, and intelligence dominated stages, with similar monotonic trajectories across life, cosmic, informational, and social systems.
citing papers explorer
-
Linear Response and Optimal Fingerprinting for Nonautonomous Systems
Extends linear response theory to nonautonomous systems and applies it to optimal fingerprinting for attributing changes to multiple forcings in time-dependent backgrounds, with numerical tests on a climate model.
-
Recursive Hierarchical Networks and the Law of Functional Evolution: A Universal Framework for Complex Systems
The authors propose Recursive Hierarchical Networks and claim to prove a law of functional evolution showing irreversible progression through structure, regulation, and intelligence dominated stages, with similar monotonic trajectories across life, cosmic, informational, and social systems.