Friday, 15 May 2026

Symbolic Emergence through the Lens of Relational Ontology: 1. Why Meaning Does Not Exist in Nature

A recurring temptation in philosophy of mind and cognitive science is to treat meaning as something already present in the world, waiting to be detected.

On this view:

  • organisms discover meaning in their environment
  • brains decode meaning from sensory input
  • perception extracts significance from nature
  • cognition maps pre-given semantic structure

Meaning, in short, is assumed to be “out there.”

Relational ontology begins by removing that assumption.

Meaning does not exist in nature.

Not because nature is empty or inert, but because meaning is not the kind of thing that can exist as a feature of physical or biological systems independently of construal.

Nature is structured.
Nature is dynamic.
Nature is relational.

But nature is not semantic.

The category mistake of naturalised meaning

The assumption that meaning exists in nature usually arises from a category error: conflating constraint with semantics.

Natural systems exhibit:

  • regularities
  • attractor dynamics
  • adaptive behaviours
  • feedback loops
  • and stabilisation processes

These are real, objective features of relational systems.

But none of them, by themselves, constitute meaning.

A river follows a gradient.
A crystal forms a lattice.
A thermostat regulates temperature.
A neuron fires under certain conditions.

In each case there is:

  • coordination
  • constraint satisfaction
  • and relational stability

But there is no semantic dimension inherent in these processes.

Meaning requires something additional.

Value is not meaning

A key source of confusion is the tendency to treat biological “value” as proto-meaning.

But as established in the neural series, value systems—such as those described in Gerald Edelman’s Theory of Neuronal Group Selection—are not semantic systems.

They are:

constraint-modulating systems that bias the stabilisation of neural relational dynamics

Value structures:

  • regulate salience
  • shape attention
  • influence behavioural trajectories
  • and stabilise adaptive coordination

But they do not interpret the world.

A bacterium moving toward nutrients is not encountering “nutritional meaning.”
It is participating in chemically constrained relational dynamics that favour persistence.

Value is about:

differential stabilisation

Meaning is about:

symbolic construal within a semiotic system

Confusing the two collapses biology into semantics prematurely.

Why physics cannot contain semantics

Another common move is to suggest that meaning is implicit in physical structure itself—that physical states already encode informational content.

But this is again a projection.

Physical systems:

  • instantiate relations
  • evolve under constraint laws
  • and exhibit structured dynamics

However:

  • no physical state is intrinsically “about” another state
  • no configuration carries semantic reference by itself
  • no law encodes interpretive content

A photon does not “mean” anything.
An electron does not “refer” to anything.
A gravitational field does not “express” anything.

They participate in relational dynamics, not semiotic ones.

Meaning cannot be found in physics because physics describes:

constraint-governed relational actualisation, not interpretive structure

The missing operation: construal

What distinguishes meaning from all forms of natural organisation is not complexity, adaptivity, or feedback.

It is construal.

Construal is:

the relational operation through which patterns are actualised as meaningful within a semiotic system

Without construal, there is:

  • behaviour
  • coordination
  • adaptation
  • response
  • and dynamic stability

But no meaning.

Meaning requires that something be taken as something within a system capable of symbolic differentiation.

Nature, by itself, does not perform this operation.

Why meaning cannot be pre-given

If meaning existed in nature independently of construal, then:

  • interpretation would be unnecessary
  • ambiguity would not arise
  • semiotic systems would be redundant
  • and cognition would be purely decoding

But actual cognitive systems do not behave this way.

They:

  • construct distinctions
  • stabilise categories
  • reorganise salience
  • and dynamically adjust interpretive frameworks

Meaning is not discovered as fixed structure.

It is:

recursively stabilised within relational systems capable of construal

This is why different organisms—and different symbolic systems—can construct radically different worlds from the same physical environment.

The environment is not semantic

One of the most persistent metaphysical habits is to treat the environment as already meaningful.

But the environment is:

  • structured
  • dynamic
  • constraint-rich
  • and relationally complex

It is not:

  • pre-semantically organised
  • semantically labelled
  • or interpretively pre-encoded

A forest does not contain “danger,” “food,” or “home” as intrinsic properties.

These arise only when:

relational systems of construal differentiate and stabilise them as such

Meaning is therefore not in the forest.

It is in the relational coupling between organism, history, and constraint dynamics that allow forest-relations to be construed as meaningful.

Why organisms do not perceive meaning

Even perception is often misdescribed as meaning detection.

But perception, at the level of neural organisation, is:

  • recursive constraint coordination
  • value-modulated relational stabilisation
  • embodied predictive coupling

What is present in perception is:

  • structured relational dynamics

What is not present is:

  • intrinsic semantic content

Meaning enters only when perceptual dynamics are integrated into systems capable of symbolic construal.

This is why:

  • perception alone is not language
  • sensation alone is not interpretation
  • and neural activity alone is not understanding

The emergence requirement

If meaning does not exist in nature, then it must emerge.

But emergence here does not mean “added on” to nature.

It means:

a new level of relational organisation in which construal becomes possible

This requires:

  • neural complexity
  • embodied coordination
  • social interaction
  • recursive communication systems
  • and stabilised symbolic differentiation

Meaning is not located in any single layer.

It arises when relational systems become capable of:

sustaining stable symbolic distinctions across time and interaction

This is why meaning is irreducibly social.

Why meaning is not subjective either

Another temptation is to relocate meaning inside the mind.

But this fails for the same reason.

If meaning were purely subjective:

  • it could not be shared
  • it could not stabilise socially
  • it could not be learned
  • and it could not persist historically

Private meaning is not meaning in the full sense.

Meaning requires:

distributed relational stabilisation across multiple participants in a semiotic system

It is neither in nature nor inside the individual.

It is in the relational field that emerges between them.

The radical implication

If meaning does not exist in nature, then the world is not divided into:

  • meaningful things
  • and meaningless matter

Instead, there is:

  • structured relational reality
    and
  • semiotic systems that construe portions of that reality as meaningful under specific conditions

Meaning is therefore not a property of being.

It is a relational achievement.

Closing the ground

Nature does not contain meaning.

It contains:

  • dynamic constraint systems
  • evolving relational structures
  • recursive interactions
  • and patterns of stabilisation

Meaning emerges only when these structures become:

recursively constrained within systems capable of symbolic construal and social coordination

This does not diminish nature.

It clarifies it.

Nature is not a repository of hidden semantics.

It is the relational ground from which semiosis arises—not because meaning was already there, but because certain systems eventually became capable of making it so.

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