The TNGS through the Lens of Relational Ontology: 5. Value Without Meaning

One of the most important—and most easily confused—concepts in Gerald Edelman is value.

Edelman recognised something many computational theories failed to grasp:

cognition is not neutral information processing.

Neural systems are intrinsically biased.

They are organised around:

• salience
• adaptive significance
• bodily regulation
• survival relevance
• and differential behavioural coordination

This insight was profound.

But it also introduces a danger.

If handled carelessly, value begins to absorb meaning itself.

Neural salience becomes semantic significance.

Adaptive coordination becomes symbolic interpretation.

Relational ontology insists on a strict distinction.

Value is not meaning.

And meaning cannot be reduced to value.

Why the distinction matters

Many cognitive theories quietly collapse:

• affect into meaning
• salience into significance
• valuation into interpretation

The result is a flattening of semiosis into adaptive response.

But these are not the same phenomenon.

A system may:

• prioritise
• orient
• amplify
• avoid
• stabilise behaviour
• and regulate coordination

without producing symbolic meaning at all.

Relational ontology therefore draws a fundamental distinction between:

• value systems
  and
• semiotic systems

This distinction is not optional.

Without it, meaning collapses into biology.

What value systems actually do

In TNGS, value systems are evolutionarily shaped neural structures influencing:

• attention
• salience
• learning
• behavioural biasing
• and coordination tendencies

Examples include:

• hunger regulation
• threat sensitivity
• reward modulation
• affective weighting
• bodily urgency systems

These systems do not “understand” meanings.

They:

modulate probabilities of neural coherence stabilisation under embodied constraint conditions

In other words:

they bias which relational trajectories are more likely to stabilise.

Value systems shape:

• relevance gradients
• attentional weighting
• behavioural orientation
• and adaptive coordination tendencies

But none of this yet constitutes symbolic construal.

Why meaning is not salience

A common mistake is to assume:

if something matters to a system, it therefore means something to the system.

But significance and meaning are not identical.

A bacterium moving toward nutrients exhibits value coordination:

• attraction gradients
• adaptive regulation
• behavioural orientation

But this does not imply symbolic semiosis.

Likewise, neural salience mechanisms:

• amplify some trajectories
• suppress others
• stabilise behavioural coherence

without thereby generating symbolic meaning structures.

Meaning requires:

construal within a semiotic system

And construal is not reducible to adaptive modulation.

Construal versus coordination

This distinction is central.

Value systems coordinate behaviour.

Semiotic systems construe experience.

These are different orders of organisation.

Coordination systems:

• regulate action tendencies
• shape adaptive responses
• stabilise organism–environment coupling

Semiotic systems:

• organise symbolic distinctions
• actualise meaning potentials
• produce interpretive relational structures

The first can exist without the second.

Meaning is therefore not:

• intensified salience
• emotional weighting
• or neural amplification

It is:

relational symbolic construal actualised within a semiotic system

Why representational theories confuse the issue

Representational models often collapse meaning into information-bearing states.

Once this happens:

• neural activation patterns become “representations”
• representations become “content”
• and content becomes “meaning”

But relational ontology rejects this chain entirely.

Neural systems do not contain meanings.

They participate in:

• value modulation
• behavioural coordination
• and conditions enabling construal

Meaning itself emerges only at the level of:

socially organised semiotic relational systems

This is why symbolic meaning cannot be localised inside neural states.

The biological grounding of construal

Importantly, distinguishing value from meaning does not separate them completely.

Semiotic construal still depends upon:

• neural organisation
• bodily regulation
• affective modulation
• attentional dynamics
• and environmental coupling

Value systems provide:

conditions of possibility for construal actualisation

But they do not determine semantic structure directly.

This relationship is asymmetrical.

Value can exist without meaning.

Meaning cannot actualise without underlying value-coordinated biological organisation.

Why emotion is not meaning

Emotion complicates this distinction because it feels meaningful.

Fear, grief, joy, shame—these appear intrinsically interpretive.

But relational ontology requires care here.

Emotion belongs primarily to:

• value coordination systems
• embodied salience organisation
• behavioural modulation dynamics

Meaning arises when these become:

symbolically construed within semiotic relational systems

For example:

• bodily grief is not identical to symbolic narratives of loss
• fear response is not identical to cultural construal of danger
• attraction is not identical to symbolic love

The semiotic layer reorganises value experience through construal.

Meaning therefore emerges through symbolic relational structuring—not from affect alone.

Neural value without semantic content

This distinction becomes clearer in simpler organisms.

Many animals exhibit:

• preference
• aversion
• learning
• anticipation
• and adaptive flexibility

These are genuine value dynamics.

But they do not necessarily imply:

• symbolic representation
• propositional thought
• or semantically organised construal systems

TNGS explains much of this beautifully through:

• dynamic selectional coordination
• value-driven neural modulation
• and reentrant stabilisation processes

Relational ontology preserves these insights while refusing semantic inflation.

Not all coordination is meaning.

Why human semiosis changes the game

Human symbolic systems introduce a fundamentally new organisational layer.

Language allows:

• recursive symbolic construal
• abstraction
• temporally displaced meaning
• metafunctional organisation
• and socially distributed semantic systems

Now value becomes:

• interpretable
• narrativised
• symbolically organised
• culturally transformed

But meaning still cannot be reduced to neural value.

Because symbolic systems possess:

• historically sedimented relational structures
• social organisation
• stratified semiotic potentials
• and contextually actualised construal resources

Meaning is therefore:

biologically grounded but semiotically organised

This distinction is essential.

Why AI debates become confused

This issue also explains many contemporary confusions around artificial intelligence.

Systems can:

• optimise
• prioritise
• adapt
• model probabilities
• and coordinate outputs

without possessing symbolic construal in the full semiotic sense.

Value-like optimisation is not meaning.

Nor is statistical correlation equivalent to semiosis.

The existence of adaptive coordination does not automatically entail:

• symbolic interpretation
• conscious construal
• or experiential meaning actualisation

Relational ontology therefore resists simplistic equations between:

• information processing
  and
• meaning

Consciousness and value

Consciousness complicates the picture further.

Conscious experience is deeply shaped by:

• salience
• affective weighting
• bodily urgency
• and attentional modulation

But consciousness is not reducible to these either.

Rather:

value systems modulate the topology of possible experiential coherence formations

They shape:

• what enters recursive stabilisation
• what persists phenomenologically
• and what achieves coherent integration

But meaning proper emerges only when symbolic construal systems organise these experiential dynamics semiotically.

Why this distinction matters philosophically

Without this distinction, one of two collapses occurs:

Either:

1. meaning is reduced to adaptive biology
   or
2. biology is mystified into hidden semantics

Relational ontology avoids both.

Value systems are real.

Meaning systems are real.

But they are:

• distinct layers of relational organisation
• coupled without being reducible to one another

This preserves both:

• the biological grounding of cognition
  and
• the irreducibility of semiosis

The deeper architecture

At this point, a layered architecture begins to appear:

• biological systems coordinate survival and adaptive persistence
• neural systems dynamically stabilise relational coherence under value modulation
• conscious systems actualise recursive experiential coherence
• symbolic systems construe meaning semiotically across social relational fields

Each layer depends on lower strata.

But none reduces cleanly to them.

This is not dualism.

It is stratified relational emergence.

Closing value

Value systems do not generate meaning.

They organise:

• salience
• coordination
• behavioural orientation
• and neural stabilisation tendencies

Meaning emerges only when relational construal actualises within semiotic systems.

The distinction matters because it preserves what is unique about semiosis:

its symbolic, interpretive, socially organised character.

Without value, meaning cannot stabilise biologically.

But without semiosis, value never becomes meaning at all.

The nervous system can care long before it can mean.