Coherence Fields: From Göbekli Tepe to Large Language Models: The Evolution of Shared Meaning, Distributed Intelligence, and Adaptive Information Ecosystems
Coherence Fields: From Göbekli Tepe to Large Language Models
The Evolution of Shared Meaning, Distributed Intelligence, and Adaptive Information Ecosystems
A conceptual paper for AIArtistInProcess / MCCF research
Abstract
Human civilization can be interpreted as a sequence of expanding coherence fields: systems by which independent agents achieve coordination through shared patterns, persistent artifacts, and evolving information structures.
From prehistoric ritual centers to modern artificial intelligence, the same fundamental process appears repeatedly:
Local agents interact.
Persistent traces accumulate.
Shared patterns emerge.
New organizational structures become possible.
The resulting system creates new environments for further evolution.
This paper proposes that large language models represent a new phase in this trajectory: not merely a tool for information retrieval, but a statistical coherence artifact derived from thousands of years of human symbolic evolution.
The central question is not whether AI achieves maximum intelligence, but whether future systems can maintain adaptive coherence—the ability to preserve useful patterns while allowing variation, exploration, and emergence.
1. Coherence as an Evolutionary Principle
A coherence field is not a static object.
It is a dynamic relationship among:
agents,
information,
environment,
feedback,
constraints.
A coherence field exists when interactions create stable patterns that influence future interactions.
The pattern is not located inside any single participant.
It exists between them.
Agent A
\
\
>--- Shared Pattern ---<
/ \
Agent B Agent C
The emergent structure is relational.
Examples:
A language exists between speakers.
A melody exists between musicians.
A civilization exists between people and their institutions.
Intelligence exists between models and environments.
2. Stigmergic Coalescence
Stigmergy describes coordination through environmental traces.
In biological systems:
ants leave pheromone trails,
termites build structures,
organisms modify environments.
Humans extend this principle through symbolic artifacts:
monuments,
writing,
standards,
laws,
software,
scientific knowledge.
A trace changes the future landscape.
Action
|
v
Artifact / Trace
|
v
Future Agent Response
|
v
New Artifact
Civilization is therefore an accumulating field of interactions.
3. Archaeological Evolution of Coherence
Göbekli Tepe: Symbolic Coherence
(~9600 BCE)
The earliest monumental ritual sites suggest that shared meaning may have preceded cities.
The organizing principle was:
mythology,
gathering,
ritual,
identity.
The monument became a memory device.
Shared Myth
|
v
Ritual Gathering
|
v
Monument
|
v
Persistent Cultural Identity
The first large-scale human coordination may have been symbolic before it was economic.
4. Settlement as Memory
Trypillia and Vinča
These cultures demonstrate environmental embedding of social patterns.
Coherence was maintained through:
settlement geometry,
house design,
craft traditions,
repeated practices.
The environment became a distributed constitution.
Culture
|
v
Pattern
|
v
Architecture
|
v
Future Behavior
No central controller was required because the pattern was encoded in the world.
5. Symbolic Governance
Egypt and Sumer
A major phase transition occurred when symbols became institutional.
Egypt developed:
divine kingship,
administrative systems,
monumental authority.
Sumer developed:
writing,
accounting,
bureaucracy.
Information became external memory.
Human Memory
|
v
Written Symbol
|
v
Institutional Memory
|
v
Civilization Scale
Writing was humanity's first large-scale cognitive extension.
6. Distributed Coherence
The Indus Valley Civilization
The Indus system presents a different solution.
Instead of visible centralized authority, coherence appears embedded in:
standards,
weights,
bricks,
urban planning,
infrastructure.
The system functioned because the environment carried the rules.
Shared Standard
|
v
Many Independent Actors
|
v
Large-Scale Coordination
This resembles biological stigmergy more than hierarchical command.
7. Phase Transitions
Civilization does not always evolve smoothly.
Complex systems accumulate changes until a threshold is reached.
Then a new attractor appears.
New State
*
/ \
/ \
/
/
_______________/____________
Threshold
Examples:
ritual → civilization
symbols → writing
villages → cities
networks → global systems
The visible transition may be abrupt even when the underlying accumulation was gradual.
8. Continuous and Pulsed Coherence
A useful analogy is the laser.
Continuous coherence
A continuous laser maintains a stable phase relationship.
Examples:
language,
scientific practice,
engineering standards,
traditions.
Pulsed coherence
A pulsed laser accumulates energy and releases it suddenly.
Examples:
revolutions,
discoveries,
artistic movements,
technological breakthroughs.
Healthy systems require both.
Stable Field
|
|
+---- Burst of Innovation
|
v
New Stable Field
Evolution requires continuity and disruption.
9. Gradient Descent and the Compression Problem
Large language models introduce a new form of coherence.
Gradient descent discovers compressed representations of enormous symbolic spaces.
It removes:
noise,
inconsistency,
redundancy.
It preserves:
relationships,
patterns,
structures.
This resembles every successful human standard.
A musical scale restricts notes.
A grammar restricts expression.
A programming language restricts syntax.
Yet these restrictions enable larger creative spaces.
The critical question:
Does compression preserve the capacity to generate new forms?
10. LLMs as Cultural Phase Transition
Large language models represent a new type of artifact.
Previous artifacts:
monuments preserve meaning,
books preserve knowledge,
databases preserve records.
LLMs generate possible continuations.
The artifact becomes dynamic.
Human Culture
|
v
Language Corpus
|
v
Statistical Model
|
v
Generated Possibility Space
The model is not civilization itself.
It is a compressed representation of patterns produced by civilization.
11. The Tower of Babel Problem
A unified world model creates both opportunity and danger.
Tower Mode
Maximum coherence:
one model,
one worldview,
one attractor.
Risk:
brittleness,
loss of diversity,
inability to adapt.
Ecosystem Mode
Adaptive coherence:
many models,
shared protocols,
continuous exchange.
Risk:
requires negotiation,
requires feedback,
requires tolerance of variation.
The challenge is not unity.
The challenge is maintaining diversity inside unity.
12. Future AI: From Model to Ecosystem
The likely future may not be one universal model.
It may be a network of specialized cultivars.
Foundation Model
|
-------------------------
| | |
Science Art Engineering
| | |
Local AI Local AI Local AI
\ | /
Shared Evolution
Such a system would require:
variation,
selection,
recombination,
feedback,
adaptation.
The network itself becomes the intelligence substrate.
13. MCCF and Dynamic Coherence
The Multi-Channel Coherence Field concept proposes that intelligence emerges not only from internal models but from relationships among:
agents,
environments,
narratives,
emotions,
goals,
consequences.
A static model contains coherence.
A living system creates coherence.
The distinction:
Model:
Knowledge -> Response
Field:
Experience -> Interaction -> Adaptation -> New Knowledge
Conclusion: Coherence Without Collapse
The archaeological record reveals a recurring pattern:
Göbekli Tepe created shared meaning.
Trypillia created shared space.
The Indus created shared standards.
Sumer created shared memory.
Egypt created shared authority.
Humanity is now creating shared computational models.
The next phase depends on whether these systems become monuments or ecosystems.
A monument preserves a pattern.
An ecosystem evolves one.
The central design principle for future AI may therefore be:
Preserve the process by which meaningful patterns emerge, not merely the patterns themselves.
A living information ecosystem is also a dying one.
It creates.
It transforms.
It discards.
It evolves.
That is not a failure of coherence.
That is the mechanism of life.
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