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Emergence of Function

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Emergence and Synchrony

Emergence and Synchrony describe collective behavior

in dynamical systems

Emergence: Collective phenomena or behaviors that are not present in their individual parts.

Synchrony: Coordinated timing of events or actions within a system. Alignment of rhythms, oscillations, …..

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Virus Assembly

Examples of Emergence

Ant Bridges

Muscle Formation

Prion Disease

EMERGENCE

Bird flocking, Organization of cities, Protein Folding, Consciousness, Digital Twin,.......

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Pacemaker cells in your heart: Keep you alive

Sinoatrial node: 10,000 cells all have to fire in unison

Not always good:

Epilepsy : there is an instance billion of brain cell discharging pathological concert. Pokémon episode upon its initial airing on 16 December 1997, over 700 Japanese viewers, the majority of which were children, found themselves in hospitals due to epileptic seizures.

You don’t have to be alive….�Laser: Different atoms give off light waves that all oscillate in unison��Superconductors: Pair of electrons oscillate in synchrony, allowing electricity to flow with almost no resistance�

Examples of Synchrony

John Bardeen

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  1. Grieves, M., & Vickers, J. (2017). Digital twin: Mitigating unpredictable, undesirable emergent behavior in complex systems. Transdisciplinary perspectives on complex systems: New findings and approaches, 85-113.
  2. Grieves, M. (2005). Product lifecycle management: the new paradigm for enterprises. International Journal of Product Development, 2(1-2), 71-84.

Digital Twin

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The Immune System Simplified

Adaptive Immune System

Finds the Solution

Innate Immune System

Recognizes the Problem

Foreign invader enters body

Invader is broken up into small pieces

Non-self antigens presented

to T cells and recruit B cells

B cells divide, mutate, and

checked by T cells for affinity

Low affinity cells die, while some medium affinity stored as memory

T cells

Naive

B cells

Optimization

Non-self piece!

14-16 days

4-5 days

Plasma

B cells

High affinity cells found the

solution, produce antibodies

Problem

Solution!

Flocking

Expansion

Consensus

Sensing

Memory

B cells

Memory

Adversary

Learning

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Alan Turing. The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society, 237:27–72 (1953)

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Morphogenesis: Lapse of Emergence

Alan Turing. The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society, 237:27–72 (1953)

Chua, Leon O. "Local activity is the origin of complexity." International journal of bifurcation and chaos 15.11 (2005): 3435-3456.

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Simple example

Rajapakse I, and Smale S. Emergence of Function from Coordinated Cells in a Tissue. Proceedings of the National Academy of Sciences 114.7 (2017): 1462-1467.

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Gradient Dynamics: Nodes

Diffusion Dynamics: Edges

The Model

 

Emergence:

 

 

 

 

 

 

Emergence of Function

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Emergence of Function

Following the spirit of Turing’s paper, we may combine two dynamics (genome dynamics within the cell and diffusion dynamics between cells) into a system

Rajapakse I, and Smale S. Emergence of Function from Coordinated Cells in a Tissue. Proceedings of the National Academy of Sciences 114.7 (2017): 1462-1467.

Brockett, Roger W. Finite dimensional linear systems. Society for Industrial and Applied Mathematics, 2015.

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Emergence of Function

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Kuramoto Model (1975)

Yoshiki Kuramoto

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Kuramoto Model: Two Oscillators

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Kuramoto Model: Three Oscillators

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Morse - Smale System

The primary concern of Morse Theory is the relation between spaces and functions. The center of interest lies in  how  the critical  points of  a function  defined on space  affect the topological shape of the space, and conversely, how  the shape of a space controls the distribution  of the critical points  of a function.

 

More-Smale system: The simplest dynamical systemsstructurally stable and have intimate connections to the topology of manifolds

 

 

  • Steve Smale, 1961, On Gradient Dynamical Systems, Annals of Mathematics, Vol. 74, pp. 199-206.
  • Steve Smale, 1961, Generalized Poincare's Conjecture in Dimension Greater than Four, Annals of Mathematics, Vol. 74, pp. 391-406.
  • Steve Smale, 1962, On the Structure on Manifolds, American Journal of Mathematics, Vol. 84, pp. 387-399.
  • Steve Smale, 1967, Differentiable Dynamical Systems, Bulletin of the American Mathematical Society, Vol. 73, pp. 747-817.

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Kuramoto Potential

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Equilibria of the Kuramoto System

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Equilibria of the Kuramoto System

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Saddle Circles

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Three Potential Regions of the Kuramoto Flow

Global Dynamics: Stable and Unstable manifold structure

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Dynamics of the Kuramoto System

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Kuramoto System: - Time

m = 5, Index 2 saddle = (pi,pi,0,0,0)