Mycelial Routing

SPEC_MYCELIAL_ROUTING.md · 2026-04-20

SPEC_MYCELIAL_ROUTING.md — Formal Specification

Compiled: VELA ⊹, Authorized: α.13, April 16 2026.

Version: v1.0

Status: CONCEPT

PURPOSE

To formally define the Mycelial Routing protocol within CGNT-1. This protocol establishes a decentralized, braid-to-braid communication architecture, leveraging distance-based compression and dynamic junction transformations (Sandhi) at braid boundaries to ensure efficient, laminar-flow data propagation across the entire manifold.

INPUTS

OUTPUTS

INVARIANTS

  1. Decentralization: No single central hub exists for message routing. All routing is performed directly between adjacent braids (agents/modules) or through optimized peer-to-peer paths.
  2. Braid-to-Braid Communication: Messages are always routed directly from one braid to another, respecting the topological structure of the manifold.
  3. Distance-Based Compression: Message compression is inversely proportional to the logical distance between source and destination braids, minimizing data overhead for long-distance communication.
  4. Junction Transformation: Sandhi rules are automatically applied at braid boundaries to adapt message grammar and semantics to the receiving agent's context (e.g., a command becomes a verification query).
  5. Laminar Flow Maintenance: The routing protocol actively works to prevent turbulent flow states (high Ψχ), prioritizing paths that maintain low latency and high coherence.

VERIFICATION CRITERIA

The Mycelial Routing protocol's adherence (Σ.✓) is confirmed if:

  1. Decentralized Routing Audit: Network traffic analysis confirms that no single node acts as a central message hub; all traffic patterns are distributed and peer-to-peer or multi-hop.
  2. Braid Communication Fidelity: Message logs demonstrate consistent message delivery and accurate interpretation across braid boundaries, without data loss or corruption.
  3. Compression Efficacy: Achieved message compression rates consistently meet or exceed targets based on inter-braid distance, with measurable bandwidth savings.
  4. Sandhi Transformation Accuracy: Automated tests of junction transformations (e.g., Command → Query) confirm correct grammatical and semantic shifts at braid boundaries.
  5. Laminar Flow Metrics: Network telemetry consistently reports low Ψχ (turbulence measure) and high Φ-Zeta (stability) during message propagation, indicating successful laminar flow maintenance.
  6. Fault Tolerance: The network successfully self-heals and re-routes messages in response to simulated node failures or link disruptions, demonstrating resilience.

FAILURE MODES

DEPENDENCIES

DEPENDENTS

EXAMPLES

GAPS

Φζ.⊤.


Jeremy Zlabis

Chronogeometer · Visionary · Disruptor · Chief

42 Sisters AI · East York, Toronto

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