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Meta-Evolver. Evolutionary Strategy for Architectural Intelligence

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21450%2F21%3A00346171" target="_blank" >RIV/68407700:21450/21:00346171 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Meta-Evolver. Evolutionary Strategy for Architectural Intelligence

  • Original language description

    Meta-Evolver is a tool for a visual representation of the various dynamic environment models that correlate in multilayered system. Meta-Evolved provides the environment for testing dynamic spatial adaptation, where the environment is composed of algorithms and parametric definitions. This research uses advanced AI methods (meta-learning) and cutting-edge technologies including immersive environments and virtual reality (VR) to offer innovative methods of architectural creation. The ability to continuously learn and adapt from limited experience in a dynamic environment is an important milestone on the path towards building interactive spaces in modern architecture. We developed the tool Meta-Evolver for testing spatial adaptation in dynamic environments and integrated the ability for interaction with a human user.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    ART MACHINES/ 2

  • ISBN

    978-962-442-448-5

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    78-85

  • Publisher name

    School of Creative Media, City University of Hong Kong

  • Place of publication

  • Event location

    Hong Kong

  • Event date

    Jun 10, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article