5.3 Emergence Flashcards

1
Q

State the three ways that complexity can arise at the microscopic level

A
  1. Competition
  2. Symmetry breaking
  3. Threshold dynamics
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2
Q

Describe competition in terms of complexity, and give examples

A

It is being like neighbour vs doing their own thing

e.g. ferromagnet, flocking, synchronisation

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3
Q

Describe symmetry breaking in terms of complexity, and give examples

A

e.g. termites, preferential attachment, segregation

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4
Q

Describe thereshold dynamics in terms of complexity, and give examples

A

Separation of timescales from self similar bursty dynamics

e.g. Avalanching, self organising critically

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5
Q

Briefly describe the symmetry breaking termite model

A

Termites wander randomly, non-interactinfg

  • Carry one piece of wood
  • If they come across wood, they drop current one, then pick it up
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6
Q

Briefly describe the symmetry breaking segregation model

A

2 Populations which start at random positions

  • Individual agents move until they achieve % similar neighbours
  • Get a tendency to segregate
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7
Q

Briefly describe the symmetry breaking preferential attachement model

A

Add nodes one at a time

  • Probability of connection to an existing node is proportional to the current number of connections
  • Get a power law and an exp. decay type histogram
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8
Q

Briefly describe the symmetry breaking diffusion limited aggregation model

A

Particles fall vertically and stick on another particle

  • New particles can only land on existing ones
  • Get plant/tree growth vertically
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9
Q

Briefly describe the thresholded dynamics avalanche model

A

Add rice grains slowly and redistribute if local gradient exceeds a critical value

  • Avalanches are faster than feeding rate
  • Avalanches on all sizes and a power law
  • System moves through metastable staes rather than towards equilibrium
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10
Q

Describe the self similar tree

A

Rule: Each branch grows 3 more branches, 1/5 as long as itself
N = 3^a, L = 1 / (5^a)
- Get a exp. type decay histogram, and can only measure over a finite range of L

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