Mean dimension theory provides a critical framework for analysing the complexity of dynamical systems, particularly those with infinite-dimensional state spaces or infinite entropy. It extends ...

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 ...

The study of dynamical systems has long provided a comprehensive framework to describe how complex systems evolve over time under deterministic rules. In recent years, the focus has shifted towards ...

Dynamical systems theory (DST) is gaining popularity in cognitive science and philosophy of mind. Recently several authors (e.g. J.A.S. Kelso, 1995; A. Juarrero, 1999; F. Varela and E. Thompson, 2001) ...

As small business owners wisely seek to grow by implementing well-designed process management systems, it’s important to understand the difference: Static Systems versus Dynamic Systems... STATIC ...

A series of new papers describes how to fully characterize key dynamical systems with relatively little data. The Quanta Newsletter ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to contribute to the ...