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Publication details
METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development
Finlay Stewart, Tim Taylor, George Konidaris
2005
Abstract
We introduce METAMorph, an open source software platform for the experimental design of simulated cellular development processes using genomes encoded as genetic regulatory networks (GRNs). METAMorph allows researchers to design GRNs by hand and to visualise the resulting morphological growth process. As such, it is a tool to aid researchers in developing an understanding of the expressive properties of GRNs. We describe the software and present our preliminary observations in the form of techniques for realising some common structures.
Full text
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Reference
Stewart, F., Taylor, T., & Konidaris, G. (2005). METAMorph: Experimenting with Genetic Regulatory Networks for Artificial Development. In M. S. Capcarrère, A. A. Freitas, P. J. Bentley, C. G. Johnson, & J. Timmis (Eds.), Advances in Artificial Life — 8th European Conference, ECAL 2005 (pp. 108–117). https://doi.org/10.1007/11553090_12
BibTeX
@inproceedings{stewart2005metamorph,
author = {Stewart, Finlay and Taylor, Tim and Konidaris, George},
title = {{METAMorph}: Experimenting with Genetic Regulatory Networks for Artificial Development},
booktitle = {Advances in Artificial Life --- 8th European Conference, ECAL 2005},
editor = {Capcarr\`{e}re, Mathieu S. and Freitas, Alex A. and Bentley, Peter J. and Johnson, Colin G. and Timmis, Jon},
year = {2005},
publisher = {Springer},
address = {Berlin},
series = {Lecture Notes in Computer Science},
volume = {3630},
pages = {108--117},
doi = {10.1007/11553090_12},
category = {conference},
keywords = {grn}
}
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@techreport{taylor2007pattern,
author = {Taylor, Tim and Ottery, Peter and Hallam, John},
title = {Pattern formation for multi-robot applications: Robust, self-repairing systems inspired by genetic regulatory networks and cellular self-organisation},
institution = {University of Edinburgh},
year = {2007},
type = {Informatics Research Report},
number = {EDI-INF-RR-0971},
category = {techreport},
keywords = {grn, hydra, robots}
}
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