Después de un primero post donde he hablado de un proyecto de instalación artistica/de diseño site-specific que utiliza algoritmos de bandadas (flocking algorithms) diseñada por Todo Design, en este post os quiero hablar de otro experimento que utiliza los mismos algoritmos.

Mientras tanto estaba buscando videos sobre complejidad en Vimeo he encontrado este video realizado por Aaron Westre de Minneapolis (Minnesota, USA), donde el explica de manera muy clara su tesis de graduado sobre utilizar algoritmos de bandadas para diseñar arquitecturas 3D; aquí va el video:


Introduction to Complexity Machine 1 from Aaron Westre on Vimeo.

Trabajando entre diseño, ciencia y cálculos Aaron Westre desarrollò su proprio software (que podesi descargar aquí), “Complexity Machine 1” utilizando el software open source Processing, donde el calcula las simulaciones del comportamiento de agentes de que se haya decidido antes las leyes de interacción.

Lo que es interesante de este proyecto es que no utiliza la complejidad de un sistema como mera inspiración o decoración, sino como una manera nueva de diseñar una estructure, como si fuera diseñada o modelada por una bandada de pajaros.

Comparado con el ejemplo del primer post, donde se adoptaba la complejidad solo como decoración, aquí se considera la complejidad por sus propiedades de generar nuevas formas y estructuras como el resultado de las interacciones de múltiples agentes (aunque en la realidad estos tipos de agentes no tienen tanta influencia sobre las arquitecturas).
Seguramente se trata de un paso adelante para la relación entre diseño y complejidad, aunque podemos seguir aun más adelante…

WARNING: This software does not produce architecture, it produces the seeds of architecture

Aaron Westre ha también publicado su tesis “Complexity Machine 1:Drawing 3D Form with Behavioral Simulation” (Mayo 2008) con el codigo fuente del software bajo de una licencia Creative Commons en Lulu.com aquí, donde podeis descargarla gratis o comprar una versión imprenta.

En esta tesis el empieza también a estudiar una metodología de diseño para sistemas complejos y computational design:

A new breed of designer is emerging, however, that has a kind of hacker mentality; taking the tools produced by the technology industry and modifying them to achieve new performances.
There is an increasing tendency toward toolmaking as an integral part of the design process. In the same way architects have sought to improve their physical and conceptual toolkits for centuries, digital toolkits are becoming fair game for repurposing, extension, and recombination. The result is a proliferation of innovative software bred to assist in specific design inquiries.
What seems to be emerging is a working method that could be called a horticulture of computational design. The process follows a distinct set of steps that define a cycle of exploration and production for the discipline: (fig. 42)

  • Step 1: Collection – In the first step concepts, inspiration and software code are collected.
  • Step 2: Hybridization – The hybridization phase involves synthesizing the collected elements into a software that provides a new functionality to the community.
  • Step 3: Cultivation – Cultivation entails a cycle of refinement of the software based on exploration of capabilities and feedback from users.
  • Step 4: Curation – The output of the software is then subjected to curation in which content is selected and interpreted for use in design processes. The results from this curation process can then be shared back with the community, inspiring further exploration.

A horticultural technique such as this could offer the computational design community an organic, yet systematic, way of exploring the vast territory of complex systems and their application to design1


La metodología de diseño de Aaron Westre’s para Computational Design y Sistemas Complejos

Complexity Machine 1 is an initial investigation into the possibilities of a design methodology based on concepts from complexity theory. Specifically, it is the first in a series of software applications for exploring the design implications of a variety of simulation techniques. This suite of software will become part of an ever growing ecosystem of computational design software that will help designers explore new territory. (fig. 43) This effort is situated within a larger collective project in which computational designers are mapping out unexplored territory by applying new technologies and techniques. The complexity machine project will continue to collect concepts, methods, and inventions from the broader community and introduce insights and tools back into the growing ecology of computational design tools.2

Notes:

  1. pp.37-38 []
  2. p.38 []
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