Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach

Yifei Wang, Stephen Matthews, J J Bryson

Research output: Contribution to conferencePaper

Abstract

Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental challenges or opportunities. This capacity, documented in nature, reflects foresight enabled by the capacity of evolution to capture and represent regularities not only in extant environments, but in the ways in which the environments tend to change. Here we posit that evolvability substantially benefits from the hierarchical representations afforded by Gene Regulatory Networks (GRNs). We present an extension of standard Genetic Algorithms (GAs) and demonstrate its capacity to learn a genotype phylogeny able to express rapid phenotypic shifts in the context of an oscillating environment.

Conference

ConferenceThe 14th International Conference on the Synthesis and Simulation of Living Systems
CountryUK United Kingdom
CityNew York
Period30/07/142/08/14

Fingerprint

Genes
Genetic algorithms
Phylogeny

Keywords

  • evolvability
  • Gene regulatory network
  • Genetic algorithms
  • evolution dynamics

ASJC Scopus subject areas

  • Artificial Intelligence

Cite this

Wang, Y., Matthews, S., & Bryson, J. J. (2014). Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. 47-53. Paper presented at The 14th International Conference on the Synthesis and Simulation of Living Systems, New York, UK United Kingdom.DOI: 10.7551/978-0-262-32621-6-ch010

Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. / Wang, Yifei; Matthews, Stephen; Bryson, J J.

2014. 47-53 Paper presented at The 14th International Conference on the Synthesis and Simulation of Living Systems, New York, UK United Kingdom.

Research output: Contribution to conferencePaper

Wang, Y, Matthews, S & Bryson, JJ 2014, 'Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach' Paper presented at The 14th International Conference on the Synthesis and Simulation of Living Systems, New York, UK United Kingdom, 30/07/14 - 2/08/14, pp. 47-53. DOI: 10.7551/978-0-262-32621-6-ch010
Wang Y, Matthews S, Bryson JJ. Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. 2014. Paper presented at The 14th International Conference on the Synthesis and Simulation of Living Systems, New York, UK United Kingdom. Available from, DOI: 10.7551/978-0-262-32621-6-ch010
Wang, Yifei ; Matthews, Stephen ; Bryson, J J. / Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. Paper presented at The 14th International Conference on the Synthesis and Simulation of Living Systems, New York, UK United Kingdom.8 p.
@conference{b6b3bdb6c5bc4c52a955b0b6f2b6e76f,
title = "Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach",
abstract = "Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental challenges or opportunities. This capacity, documented in nature, reflects foresight enabled by the capacity of evolution to capture and represent regularities not only in extant environments, but in the ways in which the environments tend to change. Here we posit that evolvability substantially benefits from the hierarchical representations afforded by Gene Regulatory Networks (GRNs). We present an extension of standard Genetic Algorithms (GAs) and demonstrate its capacity to learn a genotype phylogeny able to express rapid phenotypic shifts in the context of an oscillating environment.",
keywords = "evolvability, Gene regulatory network, Genetic algorithms, evolution dynamics",
author = "Yifei Wang and Stephen Matthews and Bryson, {J J}",
year = "2014",
month = "7",
day = "30",
doi = "10.7551/978-0-262-32621-6-ch010",
language = "English",
pages = "47--53",
note = "The 14th International Conference on the Synthesis and Simulation of Living Systems ; Conference date: 30-07-2014 Through 02-08-2014",

}

TY - CONF

T1 - Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach

AU - Wang,Yifei

AU - Matthews,Stephen

AU - Bryson,J J

PY - 2014/7/30

Y1 - 2014/7/30

N2 - Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental challenges or opportunities. This capacity, documented in nature, reflects foresight enabled by the capacity of evolution to capture and represent regularities not only in extant environments, but in the ways in which the environments tend to change. Here we posit that evolvability substantially benefits from the hierarchical representations afforded by Gene Regulatory Networks (GRNs). We present an extension of standard Genetic Algorithms (GAs) and demonstrate its capacity to learn a genotype phylogeny able to express rapid phenotypic shifts in the context of an oscillating environment.

AB - Evolvability is the capacity of a genotype to rapidly adjust to certain types of environmental challenges or opportunities. This capacity, documented in nature, reflects foresight enabled by the capacity of evolution to capture and represent regularities not only in extant environments, but in the ways in which the environments tend to change. Here we posit that evolvability substantially benefits from the hierarchical representations afforded by Gene Regulatory Networks (GRNs). We present an extension of standard Genetic Algorithms (GAs) and demonstrate its capacity to learn a genotype phylogeny able to express rapid phenotypic shifts in the context of an oscillating environment.

KW - evolvability

KW - Gene regulatory network

KW - Genetic algorithms

KW - evolution dynamics

UR - http://mitpress.mit.edu/books/artificial-life-14

UR - http://dx.doi.org/10.7551/978-0-262-32621-6-ch010

U2 - 10.7551/978-0-262-32621-6-ch010

DO - 10.7551/978-0-262-32621-6-ch010

M3 - Paper

SP - 47

EP - 53

ER -