/axioms

The Core Axioms of DAM

What must be true for DAM to be alive?


Why Axioms?

Every model begins somewhere.
DAM doesn’t begin with equations — it begins with assumptions about systems, change, and coherence.

These axioms are not rigid truths.
They are foundational invitations:
to model systems not as machines, but as evolving, adaptive, living forms.


The Seven Axioms of DAM


1. Adaptivity is Primary

A system’s survival is proportional to its ability to respond, recalibrate, and evolve under pressure.

Change is not the exception — it is the baseline.


2. Time is Internal

There is no universal clock.
Each system generates its own sense of time — based on energy, entropy, and internal tension.

Time is a function of state, not a backdrop.


3. Meaning Emerges Through Relation

No variable is meaningful in isolation.
Structure emerges from relational tension and coherence across nodes.

The system is its connections.


4. Form is Fluid

The architecture of the system is not fixed.
Rules, relationships, and even objectives can adapt.

Evolution applies to structure, not just behavior.


5. Learning is Continuous

The system learns not only from inputs — but from its own internal misalignment.
Errors are signals for recalibration.

The feedback loop is sacred.


6. The Observer is Part of the System

The act of modeling shapes the model.
The observer has energetic and conceptual presence — their influence must be acknowledged.

There is no neutral mapmaker.


7. Meta-Evolution is Possible

Not only does the system evolve — its mechanisms of evolution evolve too.

Rules about how rules change are part of the system.


How These Axioms Shape DAM

These axioms are not add-ons —
They govern the architecture of DAM:

  • Time is not a parameter — it’s an evolving field (τᵢ)
  • Networks are not graphs — they are living interdependencies
  • Models are not static descriptions — they are co-evolving constructs
  • Optimization is not convergence — it is adaptive coherence over time

Related Pages

  • /organism/architecture → How these axioms manifest in structure
  • /organism/simulations → Seeing the axioms in motion
  • /interface/observer-logic → Exploring axiom 6 in depth