Hierarchical Self-Organization in the Finitary Process Soup
Olof Goernerup, James P. Crutchfield
Abstract
Current analyses of genomes from numerous species show that the diversity of organism's functional and behavioral characters is not proportional to the number of genes that encode the organism. We investigate the hypothesis that the diversity of organismal character is due to hierarchical organization. We do this with the recently introduced model of the finitary process soup, which allows for a detailed mathematical and quantitative analysis of the population dynamics of structural complexity. Here we show that global complexity in the finitary process soup is due to the emergence of successively higher levels of organization, that the hierarchical structure appears spontaneously, and that the process of structural innovation is facilitated by the discovery and maintenance of relatively noncomplex, but general individuals in a population.
Create a lesson
Related papers
Perturbation responses on topological synchrony in simplicial Kuramoto model
Abhijeet Kumar, Palash Kumar Pal, Dibakar Ghosh
Low-Dimensional Reduction Theory for Populations of Phase Oscillators with a Gaussian Frequency Distribution
Kai Tokunaga
Asymmetric Coupling Anisotropy for Causal Information Filtering in Physical Reservoirs
Takashi Hikihara, Yuma Aoki
Mixed-mode bursting oscillations in a three-timescale biophysical neuronal oscillator model
Ngoc Anh Phan, Yangyang Wang
Topology-Biased Resource Constraints Shape Synchronization Pathways in Hindmarsh-Rose Oscillator Networks
Zhouqi Li, Xiaoyan He, Yuanhong Bi et al.
Inertial synchronization of networked oscillators in arbitrary dimensions
Kirill Kovalenko, Bruce X. Dai, Fanshu Fang et al.