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Genetic Assimilation and Canalisation in the Baldwin Effect

Record type: Article

The Baldwin Effect indicates that individually learned behaviours acquired during an organism’s lifetime can influence the evolutionary path taken by a population, without any direct Lamarckian transfer of traits from phenotype to genotype. Several computational studies modelling this effect have included complications that restrict its applicability. Here we present a simplified model that is used to reveal the essential mechanisms and highlight several conceptual issues that have not been clearly defined in prior literature. In particular, we suggest that canalisation and genetic assimilation, often conflated in previous studies, are separate concepts and the former is actually not required for non-heritable phenotypic variation to guide genetic variation. Additionally, learning, often considered to be essential for the Baldwin Effect, can be replaced with a more general phenotypic plasticity model. These simplifications potentially permit the Baldwin Effect to operate in much more general circumstances.

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Citation

Mills, Rob and Watson, Richard A., Capcarrere, Mathieu S., Freitas, Alex A., Bentley, Peter J., Johnson, Colin G. and Timmis, Jon(eds.) (2005) Genetic Assimilation and Canalisation in the Baldwin Effect Lecture Notes in Computer Science, LNCS 3, pp. 353-362.

More information

Published date: 2005
Additional Information: Event Dates: September 2005
Venue - Dates: 8th European Conference on Artificial Life, ECAL 2005, United Kingdom, 2005-09-01
Keywords: Baldwin Effect, genetic assimilation, canalisation
Organisations: Agents, Interactions & Complexity, EEE

Identifiers

Local EPrints ID: 261486
URI: http://eprints.soton.ac.uk/id/eprint/261486
ISBN: 3-540-28848-1
ISSN: 0302-9743
PURE UUID: b67c47c1-a9f8-472b-bda5-0c83934df346

Catalogue record

Date deposited: 24 Oct 2005
Last modified: 18 Jul 2017 09:02

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Contributors

Author: Rob Mills
Editor: Mathieu S. Capcarrere
Editor: Alex A. Freitas
Editor: Peter J. Bentley
Editor: Colin G. Johnson
Editor: Jon Timmis

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