LinMap: visualising complexity gradients in evolutionary landscapes
LinMap: visualising complexity gradients in evolutionary landscapes
This paper describes an interactive visualisation tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualising and exploring multidimensional parameter spaces. An artificial cell lineage model is presented that allows complexity to be quantified according to several different developmental and phenotypic metrics. LinMap is applied to the evolutionary landscapes generated by this model to demonstrate that different definitions of complexity produce different gradients across the same landscape; that landscapes are characterised by a phase transition between proliferating and quiescent cell lineages where both complexity and diversity are maximised; and that landscapes defined by adaptive fitness and complexity can display different topographical features.
277-297
Geard, N L
c8d726f5-9161-4c9e-9f3f-d87d4ceed9fa
Wiles, J
4b566453-d3c4-441a-97bd-404c378d1f67
2008
Geard, N L
c8d726f5-9161-4c9e-9f3f-d87d4ceed9fa
Wiles, J
4b566453-d3c4-441a-97bd-404c378d1f67
Geard, N L and Wiles, J
(2008)
LinMap: visualising complexity gradients in evolutionary landscapes.
Artificial Life, 14 (3), .
Abstract
This paper describes an interactive visualisation tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualising and exploring multidimensional parameter spaces. An artificial cell lineage model is presented that allows complexity to be quantified according to several different developmental and phenotypic metrics. LinMap is applied to the evolutionary landscapes generated by this model to demonstrate that different definitions of complexity produce different gradients across the same landscape; that landscapes are characterised by a phase transition between proliferating and quiescent cell lineages where both complexity and diversity are maximised; and that landscapes defined by adaptive fitness and complexity can display different topographical features.
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Geard_-_Visualising_complexity_gradients_in_evolutionary_landscapes.pdf
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linmap.zip
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Published date: 2008
Additional Information:
The LinMap software described in this paper can be obtained from http://www.itee.uq.edu.au/~nic/_linmap/
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 264056
URI: http://eprints.soton.ac.uk/id/eprint/264056
PURE UUID: ce301cc9-d6d1-4cbd-b0b2-01f431ea7547
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Date deposited: 23 May 2007
Last modified: 14 Mar 2024 07:41
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Author:
N L Geard
Author:
J Wiles
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