Innovation-exnovation dynamics on trees and trusses

Fuente: arXiv
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Hauptverfasser: Lee, Edward D., Ortega-Díaz, Ernesto
Format: Preprint
Veröffentlicht: 2025
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author Lee, Edward D.
Ortega-Díaz, Ernesto
author_facet Lee, Edward D.
Ortega-Díaz, Ernesto
contents Innovation and its complement exnovation describe the progression of realized possibilities from the past to the future, and the process depends on the structure of the underlying graph. For example, the phylogenetic tree represents the unique path of mutations to a single species. To a technology, paths are manifold, like a "truss." We solve for the phase diagram of a model, where a population innovates while outrunning exnovation. The dynamics progress on random graphs that capture the degree of historical contingency. Higher connectivity speeds innovation but also increases the risk of system collapse. We show how dynamics and structural connectivity conspire to unleash innovative diversity or to drive it extinct.
format Preprint
id arxiv_https___arxiv_org_abs_2502_21072
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Innovation-exnovation dynamics on trees and trusses
Lee, Edward D.
Ortega-Díaz, Ernesto
Populations and Evolution
Adaptation and Self-Organizing Systems
Innovation and its complement exnovation describe the progression of realized possibilities from the past to the future, and the process depends on the structure of the underlying graph. For example, the phylogenetic tree represents the unique path of mutations to a single species. To a technology, paths are manifold, like a "truss." We solve for the phase diagram of a model, where a population innovates while outrunning exnovation. The dynamics progress on random graphs that capture the degree of historical contingency. Higher connectivity speeds innovation but also increases the risk of system collapse. We show how dynamics and structural connectivity conspire to unleash innovative diversity or to drive it extinct.
title Innovation-exnovation dynamics on trees and trusses
topic Populations and Evolution
Adaptation and Self-Organizing Systems
url https://arxiv.org/abs/2502.21072