LinMap: visualizing complexity gradients in evolutionary landscapes

Geard, Nicholas and Wiles, Janet (2008) LinMap: visualizing complexity gradients in evolutionary landscapes. Artificial Life, 14 3: 277-297. doi:10.1162/artl.2008.14.3.14304

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Author Geard, Nicholas
Wiles, Janet
Title LinMap: visualizing complexity gradients in evolutionary landscapes
Journal name Artificial Life   Check publisher's open access policy
ISSN 1064-5462
Publication date 2008-07
Sub-type Article (original research)
DOI 10.1162/artl.2008.14.3.14304
Open Access Status File (Publisher version)
Volume 14
Issue 3
Start page 277
End page 297
Total pages 21
Place of publication Cambridge, MA, United States
Publisher MIT Press
Language eng
Abstract This article describes an interactive visualization tool, LinMap, for exploring the structure of complexity gradients in evolutionary landscapes. LinMap is a computationally efficient and intuitive tool for visualizing 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 characterized by a phase transition between proliferating and quiescent cell lineages where both complexity and diversity are maximized; and that landscapes defined by adaptive fitness and complexity can display different topographical features.
Keyword Complexity
Cell lineage
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Thu, 03 Sep 2009, 09:46:41 EST by Mr Andrew Martlew on behalf of Faculty Of Engineering, Architecture & Info Tech