Hierarchical noise in large systems of independent agents
Claus Wilke, Thomas Martinetz
Abstract
A generalization of the coherent-noise models [M. E. J. Newman and K. Sneppen, Phys. Rev. E54, 6226 (1996)] is presented where the agents in the model are subjected to a multitude of stresses, generated in a hierarchy of different contexts. The hierarchy is realized as a Cayley-tree. Two different ways of stress propagation in the tree are considered. In both cases, coherence arises in large subsystems of the tree. Clear similarities between the behavior of the tree model and of the coherent-noise model can be observed. For one of the two methods of stress propagation, the behavior of the tree model can be approximated very well by an ensemble of coherent-noise models, where the sizes k of the systems in the ensemble scale as k-2. The results are found to be independent of the tree's structure for a large class of reasonable choices. Additionally, it is found that power-law distributed lifetimes of agents arise even under the complete absence of correlations between the stresses the agents feel.
Create a lesson
Related papers
Multivariate amplitude analysis of the cascade particle decays based on the Nearest Neighbors fitting
I. V. Yeletskikh, A. O. Vasyukov
The geometry of uncertainty decomposition in profile-likelihood fits
Rafael Coelho Lopes de Sá
Statistical validation of calorimeter inpainting with generative diffusion priors
Himanshu Raj, Roli Esha
Unknown Unknowns: Model Misspecification in Machine Learning for Physics
Juan Cruz-Martinez, Carolina Cuesta-Lazaro, Alexander Held et al.
Exploring new directions in enhancing the ACTS parameter optimization suite
Chance LaVoie, Qi Bin Lei, Rocky Bala Garg et al.
Analytically Consistent Reconstruction of Finite Data Using Padé Sequences
Emerson Díaz, Balma Duch, Pere Masjuan