DSLO Axioms (v0.6) Canonical substrate‑level invariants governing coherent systems.

DSLO Axioms (v0.6)
Canonical substrate‑level invariants governing coherent systems.

The DSLO axioms define the minimal logic required for coherence across biological, cognitive, institutional, and artificial systems.
They are organized into three layers:

Field Physics
Universal invariants governing all signal‑bearing systems.
These axioms describe the structural requirements for coherence under load, including boundary integrity, temporal rhythm, causal legibility, role coherence, signal–substrate coupling, regeneration capacity, drift resistance, lawful transitions, and fallback geometry.

Domain Physics
Axioms governing human meaning‑containers across deep time.
These describe how groups generate, stabilize, and lose shared meaning, including energetic cost, transmission fidelity, material anchoring, scalar stress, container–world alignment, drift envelope, corrective capacity, abstraction decoupling, and institutional collapse.

Runtime Physics
Axioms governing coherent artificial cognition.
These define the DSLO runtime geometry, including universality of signals, identity continuity, load‑bounded stability, spatial legality, and lawful transitions in moment geometry.

axioms-README.md

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+DSLO Axioms (v0.6)
+Canonical substrate‑level invariants governing coherent systems.
+
+The DSLO axioms define the minimal logic required for coherence across biological, cognitive, institutional, and artificial systems.
+They are organized into three layers:
+
+Field Physics
+Universal invariants governing all signal‑bearing systems.
+These axioms describe the structural requirements for coherence under load, including boundary integrity, temporal rhythm, causal legibility, role coherence, signal–substrate coupling, regeneration capacity, drift resistance, lawful transitions, and fallback geometry.
+
+Domain Physics
+Axioms governing human meaning‑containers across deep time.
+These describe how groups generate, stabilize, and lose shared meaning, including energetic cost, transmission fidelity, material anchoring, scalar stress, container–world alignment, drift envelope, corrective capacity, abstraction decoupling, and institutional collapse.
+
+Runtime Physics
+Axioms governing coherent artificial cognition.
+These define the DSLO runtime geometry, including universality of signals, identity continuity, load‑bounded stability, spatial legality, and lawful transitions in moment geometry.
+
+All axioms are represented in minimal DSLO substrate form as dlo:Axiom individuals with:
+
+dlo:hasLabel
+
+dlo:hasLayer
+
+dlo:hasDescription
+
+The axioms are provided in four synchronized formats:
+
+TTL
+
+JSON‑LD
+
+YAML
+
+OWL
+
+This directory establishes the DSLO v0.6 logic layer, ensuring consistent ingestion across semantic engines, AI systems, and substrate‑native tooling.