M2:25.11.2010/ Klaus Wassermann /Complexity and its Neighbourhood

mascaad2010 — Mon, 15 Nov 2010 13:07:31 +0000

This lecture contextualizes reaction-diffusion systems (RD) in a wider framework of complexity. It is shown how the concept of complexity can be founded as a precisely defined and quantifiable framework, which additionally overcomes the usual reductionist definitions. Instead, an Aristotelian position is taken by proposing five necessary and sufficient conditions (“elements”) for complexity. It turns out that the concept of “complexity” is in a theory-model relation to RD systems. As such complexity is clearly distinguished from self-organization or (strong) emergence, concepts which apply
to RD systems, which however are not itself an instance of “complexity”yet. The most important qualities of RD systems concern their ability to create structured randomness, their creative power, and the fact that descriptional categories can NOT be mutually applied the levels before and after the emergence. The second part of the lecture introduces the linkage between various growth patterns in nature and RD systems, and gives a hint how to transfer both, complexity and a kind of abstract growth models into architecture.

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complexity&growth

M2: W2 Student Works 1&2 / NERVOUS SYSTEM

mascaad2010 — Sat, 13 Nov 2010 20:46:21 +0000

We should explore the sample reaction-diffusion simulations and modify them to create a video and images that explore how the patterns change when you vary parts of the process through space and time.We used 2-d Arrays to vary the Diffusion Rate, Parameters (ex. f and K in Gray-Scott), or Diffusion Direction (anisotropic example) and tried out different initial conditions and reactions(ex. Gray-Scott vs. Gierer Meinhardt).

STUDENT WORKS

Jesper Thøger Christensen

Learning to work with a complex simulation using reaction-diffusion as an example.Initial exploration of Reaction-Diffusion as a form making system by implementing a different types of reactions as control technique. Both the mostly used Gray-Scott as well as the Fitzhugh-Nagumo reaction.Exploring different starting conditions as well as changing various parameters of the reaction through space to create variation in the simulation.Gray-Scott Ė F and k parameters of the reaction are fixed whereas the diffusion rate of U change through space. Two boxes as starting condition defining different initial concentrations of the two chemicals u and vFitzhugh-Nagumo Ė F and k parameters of the reaction and diffusion rate of U change through space. Random mixture of the two chemicals u and v as initial conditionhttp:

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openprocessing.org/visuals/?visualID=15905

Magda Osinska

The task was to explore the reaction-diffusion simulations and modify them to create the images. This images should explore how the patterns change when I vary parts of the process througth space and time.I used the 2-d Arrays to very the Diffusion rate and tryed out different reactions.

openprocessing.org/visuals/?visualID=17221

openprocessing.org/visuals/?visualID=17225

Agata Muszynska

Nikola Marincic

This assignment explores the Reaction/Diffusion processes, and one particular among them – Gray Scott Reaction/Diffusion. In this assignment, I used one reaction as an animated brush that bounces around the screen with changing speed, while the reactions in the background are changing their parameters.

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Jorge Orozco

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MAS CAAD ETHZ 2010-2011 · ITA(Institute of Technology in Architecture), Faculty of Architecture ETH Zurich » diffusion

M2:25.11.2010/ Klaus Wassermann /Complexity and its Neighbourhood

M2: W2 Student Works 1&2 / NERVOUS SYSTEM