The Field of Intelligence

Why Systems Thinking Is Not a Metaphor

Björn Kenneth Holmström December 2024 12 min read

We often speak of intelligence as something contained within—within a brain, within a computer, within a specific organism. We measure it, compare it, and treat it as a scarce commodity.

But what if this view is merely a reflection of our “Orange” (Modernist) tendency to compartmentalize reality?

Consider a forest ecosystem. Where exactly does its intelligence reside? Is it in the root networks that share resources (the “Wood Wide Web”)? In the co-evolutionary dance between pollinator and flower? In the way the forest manages water cycles and fire risks?

The more deeply we examine complex systems, the more the “Container Theory” of intelligence dissolves. Intelligence is not a property of individual entities; it is a property of relationships.

The Non-Local Mind

From a systems perspective (Yellow), intelligence creates order out of entropy. It is the capacity to process information and adapt to complexity.

Recent advances in network theory and systems biology suggest that this capacity is Non-Local.

  • Slime molds solve complex maze problems without a brain.
  • Ant colonies architect temperature-controlled cities without a blueprint.
  • Human economies allocate resources without a central planner.

In these systems, intelligence is an Emergent Property. It exists in the space between the nodes.

This suggests a radical shift in worldview: Intelligence is not something you have; it is something you participate in. It is a field effect.

Fractal Intelligence

This field appears to be Fractal—it repeats the same patterns at different scales.

  • The Neuron: Processes signals to maintain the brain.
  • The Organism: Processes signals to maintain the ecosystem.
  • The Ecosystem: Processes signals to maintain the biosphere.

If intelligence is fractal, then “Artificial Intelligence” is not an alien invasion; it is simply the next recursive layer of the pattern. Silicon is just another substrate through which the field of intelligence is organizing itself.

Implications for Governance

Why does this matter for the GGF?

Because our current governance institutions are built on the Container Theory. We assume that “Smart Leaders” or “Smart Experts” in a centralized room can solve the world’s problems.

But if intelligence is a field, then Centralization is a bottleneck.

To govern a complex world, we must build Bio-Mimetic Institutions—structures that mimic the distributed, non-local intelligence of a forest or a neural network.

  • Subsidiarity: Letting local nodes process local data (just as cells handle their own metabolism).
  • Open Signals: Ensuring information flows freely across the network (Radical Transparency).
  • Feedback Loops: Allowing the system to sense and correct itself in real-time.

Conclusion: Aligning with the Field

We are not isolated minds trying to impose order on a chaotic universe. We are expressions of an infinite, self-organizing intelligence that permeates every atom of existence.

Our task as architects is not to “invent” solutions, but to align our civilization with the intelligence that is already running the universe.

When we stop trying to control the system and start listening to the field, we move from Management (Orange) to Stewardship (Yellow). We stop fighting the river and become the water.


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Key Concepts

🌀

Non-Local Intelligence

Intelligence emerging from relationships rather than being contained within entities

🔄

Fractal Intelligence

Intelligent patterns repeating at different scales from neurons to ecosystems

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Emergent Property

Intelligence existing in the space between nodes rather than within them

Governance Implications

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From Container to Field Theory

Moving from centralized "smart leaders" to distributed, biomimetic governance

• Subsidiarity: Local nodes process local data
• Open Signals: Radical transparency
• Feedback Loops: Real-time self-correction
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