Artificial evolution of life history and behavior

The American Naturalist
Espen StrandJarl Giske

Abstract

We present an individual-based model that uses artificial evolution to predict fit behavior and life-history traits on the basis of environmental data and organism physiology. Our main purpose is to investigate whether artificial evolution is a suitable tool for studying life history and behavior of real biological organisms. The evolutionary adaptation is founded on a genetic algorithm that searches for improved solutions to the traits under scrutiny. From the genetic algorithm's "genetic code," behavior is determined using an artificial neural network. The marine planktivorous fish Müller's pearlside (Maurolicus muelleri) is used as the model organism because of the broad knowledge of its behavior and life history, by which the model's performance is evaluated. The model adapts three traits: habitat choice, energy allocation, and spawning strategy. We present one simulation with, and one without, stochastic juvenile survival. Spawning pattern, longevity, and energy allocation are the life-history traits most affected by stochastic juvenile survival. Predicted behavior is in good agreement with field observations and with previous modeling results, validating the usefulness of the presented model in particular and artificial e...Continue Reading

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Citations

Sep 15, 2006·Journal of the Royal Society, Interface·Emmanuel de MargerieLalaonirina Rakotomanana
Dec 8, 2009·Biological Reviews of the Cambridge Philosophical Society·Richard A Stillman, John D Goss-Custard
Aug 8, 2014·Proceedings. Biological Sciences·Jarl GiskeChristian Jørgensen
Nov 16, 2013·The American Naturalist·Jarl GiskeMarc Mangel
Sep 22, 2012·Trends in Ecology & Evolution·Steven F Railsback, Bret C Harvey
Aug 1, 2009·Evolutionary Applications·Christian JørgensenØyvind Fiksen
Nov 18, 2005·Journal of Theoretical Biology·Penelope A HancockMatthew J Keeling
Jun 21, 2019·Journal of Theoretical Biology·Allison R HrycikTomas O Höök
May 5, 2021·Biological Reviews of the Cambridge Philosophical Society·Kanchana BandaraKetil Eiane
May 13, 2021·Biological Reviews of the Cambridge Philosophical Society·Cara A GallagherUta Berger

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