English

Efficiency and persistence in models of adaptation

Statistical Mechanics 2007-05-23 v1 Disordered Systems and Neural Networks q-bio

Abstract

A cut-and-paste model which mimics a trial-and-error process of adaptation is introduced and solved. The model, which can be thought of as a diffusion process with memory, is characterized by two properties, efficiency and persistence. We establish a link between these properties and determine two transitions for each property, a percolation transition and a depinning transition. If the adaptation process is iterated, the antipersistent state becomes an attractor of the dynamics. Extensions to higher dimensions are briefly discussed.

Keywords

Cite

@article{arxiv.cond-mat/0105189,
  title  = {Efficiency and persistence in models of adaptation},
  author = {R. D'Hulst and G. J. Rodgers},
  journal= {arXiv preprint arXiv:cond-mat/0105189},
  year   = {2007}
}

Comments

4 pages, 4 figures, submitted to publication

R2 v1 2026-07-22T10:21:13.951Z