Adaptation and Self-Organizing Systems Papers of the Week

Our paper aims to provide a unified framework for understanding mobility as a combined physical and informational driving force in the evolution of cooperation.

However, their practical scalability is fundamentally limited by amplitude-phase coupling and metastable trapping in highly frustrated energy landscapes. Here, we present an \textit{in situ} dual-enhancement mechanism to address these bottlenecks without requiring external site-specific fine-tuning.

We report point-by-point laser Doppler vibrometry on the reeds of six handmade hulusi, two each in the keys of F, B$\flat$ and C, measured at 29 points on every reed or tongue over nine fingerings and two supply pressures.

Here, we incorporate stochastic fluctuations into a noise-corrected replicator-dynamics framework.

Basin entropy measures uncertainty about a network's long-term behavior. For every critical one-input synchronous Boolean network with $m$ relevant nodes, we show that the permutation structure induced by its feedback loops determines basin entropy, up to a universal error.

We illustrate the framework for AC power grids with uncertain voltage magnitudes and adaptive oscillator networks with state-dependent couplings.

Here we introduce a simple general model for trail formation, based on minimizing cost of movement by individuals.

In this study, we investigate the optimization of higher-order internetwork coupling for mutual synchronization among three collectively oscillating networks.

Here, we propose a minimal model based on fundamental visual processing shared across species: detection of image size and optic flow.

In this work, we develop a computational-mechanics framework to study agents interacting in feedback loops.

We introduce the Boom-Busty Marketron, a model of a multi-asset market in which the demand of a single collective investor moves prices and itself depends on market performance.

We derive the solution for the mean interspike interval of a QIF subject to additive Gaussian noise in terms of analytic functions, from the first passage time problem.

We separately introduce a hypothetical autonomous channel in which installed androids contribute materially to producing additional androids.

We discuss how adaptation mechanisms, including plasticity, modulation, remodeling, and learning, maintain the appropriate level of (de)synchronization.