Error Thresholds on Dynamic Fitness-Landscapes

Martin Nilsson and Nigel Snoad

Working Papers from Santa Fe Institute

Abstract: In this paper we investigate error-thresholds on dynamics fitness-landscapes. We show that there exists both a lower and an upper threshold, representing limits to the copying fidelity of simple replicators. The lower bound can be expressed as a correction term to the error-threshold present on a static landscape. The upper error-threshold is a new limit that only exists on dynamic fitness-landscapes. We also show that for long genomes on highly dynamic fitness-landscapes there exists a lower bound on the selection pressure needed to enable effective selection of genomes with superior fitness independent of mutation rates, i.e., there are distinct limits to the evolutionary parameters in dynamic environments.

Published in PRL,Vol. 84 (3 Jan 2000):191-194.

Keywords: Quasi-species; dynamic fitness-landscapes (search for similar items in EconPapers)
Date: 1999-04
New Economics Papers: this item is included in nep-evo
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Persistent link: https://EconPapers.repec.org/RePEc:wop:safiwp:99-04-030

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