Design is analogical Entropy

Da Vinci & Pacioli’s De Divina Proportione for our times…
“Design in nature analogically, optimally emerges from Entropy.”
The Asynsis Principle
Long order, regular and non-repeating quasicrystal x-ray holograms reveal a new form of matter, based on Asynsis principle-Golden Ratio proportions. More evidence that the Greek and Renaissance geometers were right about this new law of nature. Once the geometries are revealed over time, when the symmetries are dynamical, we are also talking about the emergent properties of nature.
Using the Manganese atom as a model, practical applications include the reinforcing of steel.
Hologram of a quasicrystal recorded in inverse mode at 16 keV, using Mn as detector atom, quasicrystal-Penrose tiling and nanotech: icosahedral photonic quasicrystal and diffraction patterns of decagonal quasicrystals.

http://en.wikipedia.org/wiki/Luca_Pacioli

 

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~ by Asynsis on May 20, 2012.

4 Responses to “Design is analogical Entropy”

  1. This analogical design has also been been postulated to be literally, a Universal geometry:
    http://physicsworld.com/cws/article/news/2003/oct/08/is-the-universe-a-dodecahedron

  2. The analogical symmetries involved are also integral to a recent geometrical theory of everything by Garrett Lisi:
    http://en.wikipedia.org/wiki/An_Exceptionally_Simple_Theory_of_Everything

  3. An interesting article of the doings of Ville Kaila and Arto Annila of the University of Helsinki…

    Evolution as Described by the Second Law of Thermodynamics

    http://phys.org/news137679868.html

    These guys also knock on this same stuff. And me as a commoner sucking in information that resonates best (just me saying I’m not a physisist or anything of the sort) also think that the principle of Emergence (emergentism) and ’emergentism in information theory’ reflects Constructal law. Just think of the brilliance of emergentism in terms of information: One can say within these frames that ‘the whole is less than the sum of its parts’. And this makes complete sense depending when changing your viewpoint. To me basically it means that I don’t need to think about how to walk, I just walk. Or, a physisist doesn’t need to know every variable (like location and speed of a particle <- pun intended) to make accurate predictions. There is a loss of information between layers of systems.

    negEntropy piles up energy that condenses into matter. Connections in the pileups evolve into intricate systems. Systems depending on other systems form layers and a hierarchy. What happens in the lower levels that ‘cause’ the upper levels? It has proven difficult to explain what happens between the layers, just by the rules governing the lower levels. Almost as if the upper levels have something to do with the leap or creation of the next generation of systems before they are even formed. Might it be because of the ‘energy path’ that is already there like a potential? It is the same as trying to explain the planetary motions using only QM. There would be an immense amount of information that is ultimately irrelevant. It’s like the ‘culminations’ (or the tips of the iceberg) of necessary low-level systems become the sole cause for the next generation of systems. The above layer can have the luxury to safely regard a whole generation of low-level information just by assuming (sorry for the layman terminology) the effect (potential) will always be there. Hence the loss of information = less energy consumption for maintaining the next level.

    haha, just something to chew on 🙂

    • Hi Kaddak,
      Appreciate the thermodynamics-evolution link, yes that’s exactly the meme that flows through Asynsis optimal, analogical geometrical signatures of Constructal behaviours.
      As an architectural student from Hong Kong, I’ve always been interested in design and complexity, I synthesised
      the two I guess and made a conjecture which turned out thanks to Constructal design law, to be valid.
      Asynsis is a (de)coding of complexity. Constructal behaviours yield Asynsis geometries.
      N

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