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Michael Collins

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Title: Michael Collins


1
ASPECTS OF DESIGN IN THE NATURAL WORLD
  • Michael Collins

London South Bank University Brunel
University,West London
2
Summary
  • Two MAJOR themes - Mathematics Perception
  • Two ADDITIONAL themes - History Thermodynamics

Plus overheads from various publications
3
Activities
  • How was this approached?
  • Design in Nature Series,WIT Press
  • Discussions with senior UK biologists
  • Rationale - identification of mainstream themes
  • Reading over entire subject range
  • Colour Design Conference and
  • Special Issue of Journal

4
Laws and Perception
  • Natural laws hold over cosmos.
  • - a regularly- behaved understandable universe
  • Laws not just empirical but mathematical (o1,o2)
  • In biology, perception of form is also crucial
    (o3A,B) - points to Goethe

5
Design A
  • What do we mean by design? wysiwyg
  • Neutral on beliefs - positive or negative (o4)
  • Engineering description of design (o5,o6) and
    creativity (o7)

6
Design B
  • Importance of robustness - leading to Robust
    Engineering Design (RED) (o8,o9)
  • Engineering design methods can be applied in
    biology (o10,o11)

7
History A
  • Pythagoras (o12)
  • Golden Ratio and Music (o13)
  • Golden Ratio,Golden Ellipse,Logarithmic Spiral..
  • very interesting - join mathematics
    perception

8
History B
  • Philosophy of mathematics goes back to Plato
  • neo-Platonism - Gomatom (o14)
  • neo-Platonism - Penrose
  • neo-Platonism - Fokas

9
History C
  • Philosophy of biology goes back to Aristotle
  • Aristotle - Gomatom (o15)
  • Aristotle - Arber (o16)
  • Aristotle - Webster Goodwin (o16B)

10
History D
  • Mathematical design of Greek theatre at Epidaurus
    (o17)
  • Aesthetically,permanently,touristically
    attractive

11
Renaissance A
  • Re-discovery of Greek knowledge (o18)
  • Leonardo da Vinci - the polymath (o19)
  • Leonardo da Vinci - his holism (o20)

12
Renaissance B
  • Ruskin very pro-Gothic (1849-1852)
  • The Stones of Venice (o21)
  • Ruskin anti-Renaissance architecture (o22,o23)

13
Renaissance C
  • Ruskin very pro-Gothic (1849-1852)
  • The Stones of Venice (o21)
  • Ruskin anti-Renaissance architecture (o22,o23)

14
T.A.Cook and Spirality A
  • Cook spent 20 years (1895-1915) studying
    spirality in nature - The Curves of Life
  • He essentially agreed with Ruskin - subtle
    differences were crucial to him (o24,o25)
  • He was also pro-Gothic (o26)

15
T.A.Cook and Spirality B
  • He also stressed mathematics by way of Fibonacci
    numbers for leaf arrangements (o27)
  • He described genius as imaginatively creative
  • power, able to handle diminutive divergence
    from correct formality (o28)

16
Conflict between Biology and Thermodynamics
  • Darwin, Huxley Kelvin
  • on the age of the earth
    (o29)
  • Tyndall Tait
  • on the claims of Mayer
    vis-a-vis Joule (o30)

17
The Laws of Thermodynamics
  • First Law of Thermodynamics (o31)
  • Second Law of Thermodynamics (o32)
  • Entropy (macroscopic,thermal) (o33)

18
Free Energy-a crucialthermodynamic parameter for
living systems
  • The definition of Free Energy (free enthalpy or
    Gibbs function) (o34)
  • The correspondence between fuels and food (o35)

19
The System Conceptin thermodynamics
  • Part of the genius of thermodynamics is the
    concept of system system boundary
  • There are three kinds (o36A)
  • isolated - no matter or energy can cross
    bdry
  • closed - energy only can cross boundary
  • open - both matter and energy can cross
    bdary

20
Thermodynamic Systems and biology
  • closed - the biosphere (o36B)
  • of prime importance (Wicken)
  • open - living organisms,cells (o36B)

21
Shannon entropy
  • Entropy defined in o33 macroscopically and
    thermally
  • Boltzmann ,1872, showed entropy can also
  • be defined microscopically and statistically
  • Shannon ,1948,defined entropy in terms of
    information theory - (doubt about this)- (o37)
  • Tribus ,1961, defining entropy as uncertainty,
    developed a full thermodynamic theory (o38)

22
Prigogines Thermodynamics
  • Far-From-Equilibrium Systems (o39)
  • Irreversible Processes and Self-Organization
    (o40)
  • Dissipative Structures (o40)
  • All apply to living systems

23
Cosmic Evolution A(after Chaisson)
  • neo-Darwinism subset of broad evolutionary
    scheme (o41)
  • work of Layzer (1975,etc)
  • cosmic expansion.prime mover for.hierarchy of
    structures throughout the Universe (o41)

24
Cosmic Evolution B
  • Graphs of cosmic temperature and information
  • with time (Chaisson) (o42)
  • 3-D graph of energy and information densities
    with time (Ji) (o42)
  • Similar graphs of Hawking and Goonatilake

25
Cosmic Evolution C
  • Chaisson uses free energy rate densities to
    compare order of structures in Universe (o43)
  • stars,planets animals,brains,society
  • this measure of complexity is increasing sharply
  • with time (o43)
  • similar graphs of Hawking and Goonatilake
  • can this energy/information approach be applied
    in design?

26
Biocybernetics of Ji A
  • Generic model of machine (o44A)
  • Application to living cell (o44A)
  • Bhopalator model of living cell (o44B)

27
Biocybernetics of Ji BThe human body
  • Piscatawaytor model (o45)
  • Four control systems - nervous,circulatory,
    endocrine, immune - affect
  • Macroscopic voluntary bodily motions
    intentional microscopic processes in brain
  • Importance of voluntary control (o45)

28
Dissipative structuresand bifurcations
  • Jis proposal of space- time- dependent
    biochemical structures in cell (o46)
  • Consistent with dissipative structures of
    Prigogine
  • Focus on calcium and cytoskeleton (o46)
  • Bifurcation behaviour towards alternative
    states.(o47)

29
Morphogenesis and bifurcations
  • Webster and Goodwins study on the effect of
    calcium variation on cytoskeleton mechanics (o48)
  • Consistent with Jis focus
  • Ruling equations give spontaneous bifurcations
  • Wickens similar description (o49)

30
Chaos,attractors and pattern formation
  • Dissipative structures display bifurcations
  • Cascade of bifurcations leads to chaotic
    behaviour
  • Within the chaos a range of preferred steady
    states may appear
  • These are termed attractors in phase-space,which
    is the set of variables describing system
    behaviour
  • This can explain pattern formation in biology (
    o51 and The Self-Made Tapestry,Philip Ball)

31
History and bifurcations
  • Recent growth of complexity in the Universe is
  • a)within living systems
  • b)by living systems-essentially homo
    sapiens
  • Goonatilake terms b) exosomatic
  • This growth results in industrial/cultural
    advances
  • Such history may be described as a series of
    bifurcations (o52)

32
Closure Ahow chaotic is evolution?
  • Presentation has shown complexity ,free energy
    ,dissipative structures all relevant within
    Nature
  • Chaotic behaviour gives alternative states
    sensitive to initial conditions so consistent
    with natural selection
  • Attractors means robustness emerges and can
    describe morphogenesis and pattern formation
  • How much can chaos describe evolution?
  • Lewin Goodwin (o53),Ball Goodwin (o54)

33
Closure Bthe nano-world
  • Behaviour at molecular level same in natural and
    engineered worlds
  • Molecular dimensions merge into nanoscale
  • where continuum concept breaks down for both
    solids fluids (o55)
  • Mathematical methods must be same for all fields
  • For fluids - Lattice Boltzmann/Monte Carlo
  • MC invented by Kelvin (o56)

34
Closure Cbeauty
  • Beauty maths (Fokas) (o57)
  • Beauty in spirals (Cook) (o57)
  • Beauty in architecture (Ruskin) (o58)
  • Beauty,function engineering (French) (o59)

35
Closure Dcredits
  • Design in Nature Series ,WIT Press (o60)
  • Contents ,Volume 2 ,DIN Series (o61)
  • Colour Design Conference ,2003, (o62)
  • Special Colour Issue of Optics Laser
    Technology ,2005

36
Closure E
  • Many thanks for watching this presentation!
  • MWC 25-5-05
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