Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems.

Matt Grove*, James Borg*, Fiona Polack

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

Abstract

Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/ƒβ) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before introducing coloured noise as an appropriate model for environmental variation in artificial evolutionary systems. To illustrate and explore the effects of different noise colours, a simple evolutionary model that examines the trade-off between specialism and generalism in fluctuating environments is applied. The results of the model clearly demonstrate a need for greater generalism as environmental variability becomes ‘whiter’, whilst specialisation is favoured as environmental variability becomes ‘redder’. Pink noise, sitting midway between white and red noise, is shown to be the point at which the pressures for generalism and specialism balance, providing some insight in to why ‘pinker’ noise is increasingly being seen as an appropriate model of typical environmental variability. We go on to discuss how the results presented here feed in to a wider discussion on evolutionary responses to fluctuating environments. Ultimately we argue that Artificial Life as a field should embrace the use of coloured noise to produce models of environmental variability.
Original languageEnglish
Title of host publicationALIFE 2020: The 2020 Conference on Artificial Life
PublisherMIT Press Journals
Pages292-299
Number of pages8
DOIs
Publication statusPublished - 1 Jul 2020
Event2020 Conference on Artificial Life -
Duration: 13 Jul 202018 Jul 2020
https://www.robot100.cz/alife2021/

Conference

Conference2020 Conference on Artificial Life
Abbreviated titleALIFE 2020
Period13/07/2018/07/20
Internet address

Bibliographical note

© 2020 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license

Keywords

  • Coloured Noise
  • Environmental Variability
  • Artificial Evolutionary Systems
  • Environmental Time Series

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