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Trinary-19683 Cognitive System: From Static Hexagrams to a Falsifiable, Evolvable Deterministic Cognition Layer

I previously outlined the Trinary Nine-Dimensional 19683 Cognitive System on this platform (3^9 = 19,683 state space + five-domain semantic bridge). It now runs end-to-end and is open source.

Trinary-19683 Cognitive System

A recomputable, falsifiable, evolvable deterministic symbolic cognition layer — not a divination tool, but a deterministic cognitive anchor for LLMs / agents.

Deterministic reasoning layer

  • Full 19,683-gua state space (3^9, D/R/T trinary encoding), gua IDs & lines aligned by a 3-generation correction engine — 0 missing
  • Deterministic self-adaptive rank: 5-dimensional structural signatures (301 rules), 100% recomputable (leave-one-out validated at 100%)
  • Dynamic potential-flow inference, three-state axiomatic semantics, temporal evolution paths (suggest / trace)

Cognition Board v2

  • Falsification dynamics: tiered refutation, reversible migration, self-contradiction detection — teaches the model when to abandon a belief and where to go, addressing hallucination at the architecture level
  • Meta-Board L4: M(X) meta-evaluation + M(M(X)) recursive self-examination, falsifiable
  • Multi-agent protocol L5: conflict localization to a specific migration edge, refutation collision, recomputable joint chains

Delivery forms

Standalone offline model / inference workbench / service console (15+ APIs) / Python package (Apache-2.0)

Why it is not "fortune-telling"

Most I-Ching tools are "cast a hexagram + look up a text." The core difference here: recomputable, verifiable, replayable, reversible — every gua, every jump, every migration carries a deterministic signature and an auditable trace. It can absorb LLM free associations, validate them, and solidify them into deterministic rules.

🔗 GitHub (open source): https://github.com/q1z2q3-debug/trinary-19683

Star / fork / issues welcome.

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