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


Reference:

Wang, Y., Matthews, S. and Bryson, J. J., 2014. Evolving Evolvability in the Context of Environmental Change: A Gene Regulatory Network (GRN) Approach. In: The 14th International Conference on the Synthesis and Simulation of Living Systems, 2014-07-30 - 2014-08-02, Javits Center.

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    Official URL:

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

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    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.

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsWang, Y., Matthews, S. and Bryson, J. J.
    DOI10.7551/978-0-262-32621-6-ch010
    Related URLs
    URLURL Type
    http://mitpress.mit.edu/books/artificial-life-14Publisher
    Uncontrolled Keywordsevolvability,gene regulatory network,genetic algorithms,evolution dynamics ,artificial intelligence
    DepartmentsFaculty of Science > Computer Science
    Research CentresMedia Technology Research Centre
    Centre for Mathematical Biology
    RefereedYes
    StatusPublished
    ID Code40017

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