Vector field embryogeny.
We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space. We show the feasibility of the approach by evolving cellular differentiation, a basic feature of...
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Public Library of Science (PLoS)
2009
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oai:doaj.org-article:04e783f828aa424f96efae8d7a9dbbd32021-11-25T06:27:18ZVector field embryogeny.1932-620310.1371/journal.pone.0008177https://doaj.org/article/04e783f828aa424f96efae8d7a9dbbd32009-12-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20020063/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space. We show the feasibility of the approach by evolving cellular differentiation, a basic feature of both biological and artificial development. We demonstrate how a spatial hierarchy formulation can be integrated into the framework and investigate the evolution of a hierarchical system. Finally, we show how the framework allows the investigation of allometry, a biological phenomenon, and its role for evolution. We find that direct evolution of allometric change, i.e., the evolutionary adaptation of the speed of system states on transient trajectories in phase space, is advantageous for a cellular differentiation task.Till SteinerYaochu JinBernhard SendhoffPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 4, Iss 12, p e8177 (2009) |
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Medicine R Science Q Till Steiner Yaochu Jin Bernhard Sendhoff Vector field embryogeny. |
description |
We present a novel approach toward evolving artificial embryogenies, which omits the graph representation of gene regulatory networks and directly shapes the dynamics of a system, i.e., its phase space. We show the feasibility of the approach by evolving cellular differentiation, a basic feature of both biological and artificial development. We demonstrate how a spatial hierarchy formulation can be integrated into the framework and investigate the evolution of a hierarchical system. Finally, we show how the framework allows the investigation of allometry, a biological phenomenon, and its role for evolution. We find that direct evolution of allometric change, i.e., the evolutionary adaptation of the speed of system states on transient trajectories in phase space, is advantageous for a cellular differentiation task. |
format |
article |
author |
Till Steiner Yaochu Jin Bernhard Sendhoff |
author_facet |
Till Steiner Yaochu Jin Bernhard Sendhoff |
author_sort |
Till Steiner |
title |
Vector field embryogeny. |
title_short |
Vector field embryogeny. |
title_full |
Vector field embryogeny. |
title_fullStr |
Vector field embryogeny. |
title_full_unstemmed |
Vector field embryogeny. |
title_sort |
vector field embryogeny. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2009 |
url |
https://doaj.org/article/04e783f828aa424f96efae8d7a9dbbd3 |
work_keys_str_mv |
AT tillsteiner vectorfieldembryogeny AT yaochujin vectorfieldembryogeny AT bernhardsendhoff vectorfieldembryogeny |
_version_ |
1718413660733308928 |