Out of Control

feedback, complexity and natural resilience

decentralized
society

research project

this presentation

Le Moi

Mathijs de Bruin

  • Philosophy
  • Informatics
  • Physics

feedback

networks

graphs

network ecology

graph of feedback loops

complexity

  • non-linearity
  • multi-scale
  • many subsystems (agents)

complexity

  • non-linearity
  • multi-scale
  • many subsystems (agents)

complexity

  • non-linearity
  • multi-scale
  • many subsystems (agents)

complexity

  • non-linearity
  • multi-scale
  • many subsystems (agents)

complexity (2)

  • unpredictability (chaos)
  • downward causality
  • self-organization (emergence)

complexity (2)

  • unpredictability (chaos)
  • downward causality
  • self-organization (emergence)

complexity (2)

  • unpredictability (chaos)
  • downward causality
  • self-organization (emergence)

complexity (2)

  • unpredictability (chaos)
  • downward causality
  • self-organization (emergence)

What does it mean!?

Examples

climate

feedbacks and complexity

cities

emergence

economy

147 companies run the world

brain

downward causality

So what?

Who cares?

no 'control'

why?

  • rare, significant perturbations
  • feedback energy scales with deviation
  • failure cascades

Black Swan

why?

  • rare, significant perturbations
  • feedback energy scales with deviation
  • failure cascades

why?

  • rare, significant perturbations
  • feedback energy scales with deviation
  • failure cascades

but…

what's that mean!?

evolution

needs

death

it requires

collapse

it requires

failure

On a long enough timeline the survival rate for everyone drop to zero.

death

is

inevitable

(duh)

humanity

will

die

you

will

die

capitalism

will

die

facebook

will

die

money

will

die

socialism

will

die

civilization

will

die

Solution?

design for

failure

design like

nature

design like nature

like…

surfing

flying

mycelium

the interwebz

bacteria

“Go with the flow!”

(ugh)

best practises

(in progress)

best practises

  1. Observe.
  2. Act minimally (wei wu wei).
  3. Multi-value optimization.
  4. Iterate.

or

best practises

Minimize action under minimalist self-preservation.

complex adaptive systems

beautiful slides

now call my bullshit

what did i miss?

  • design principles
  • formal basis
  • examples
  • implementation
  • edge cases

many thanks

+ workshop tomorrow, 16:00

(Communities of people and trees)