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Polyhedral Computing and spatial research in architectural education. Applications to spatial research

  • Autores: Flavia Maria Rosu
  • Localización: EURAU18 Alicante: Retroactive Research: Congress Proceedings / coord. por Javier Sánchez Merina, 2018, ISBN 978-84-1302-003-7, págs. 69-74
  • Idioma: inglés
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  • Resumen
    • In this paper we investigate an innovative way for modelling complex combinatorial spatial structures, called Polyhedral Computing. Already confirmed as an efficient tool regarding spatial cognition and education, the proposed framework of Polyhedral Computing can become an appropriate instrument for contemporary spatial research in architecture, education and design. Therefore, within this framework we propose the use of an algebra that acts on a set of Archimedean polyhedra - called “variables” - and applies various “connectivity operators” to create geometric expressions that satisfy specific validation rules. The construction flow for such geometric expressions can be described as an evolutionary process within the wider domain of computational architecture.


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