A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, “Time-lagged recurrence: A data-driven method to estimate the predictability of dynamical systems,” published on 16 May 2025, in the Proceedings of the National Academy of Sciences, introduces a technique called Time-Lagged Recurrence (TLR) that addresses a fundamental question in science and engineering: given a system’s current state, how far into the future can we reliably predict its behavior?
Data-driven method reveals how (un)predictable complex systems can be
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