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Article 11 — Role Hybrids & Role Lattice (Action/Decision Corridors) (Almost-Code Canonical) v1.0

Roles are not types. They are combinable state-functions forming a meta-lattice.

Summary (Canonical)

AVOO roles form a lattice, not a lineup.
Real systems operate through hybrid role states (A–V, A–O, A–Op, V–O, V–Op, O–Op, A–V–O–Op).
Each decision corridor can be represented as a role-mix vector and mapped to (Z,P).
Collapse happens when role diversity collapses or the wrong hybrid dominates the wrong region/tempo.

1) First Principles

1.1 Why hybrids are inevitable

Any real action requires multiple functions:

  • generating options
  • selecting direction
  • gating validity
  • executing reliably

These functions can be distributed across people or held by one person across time.

So roles must be represented as weights, not labels.

2) Role Mix Vector (Locked)

For any agent or system at time t:

[
R(t)=(A_w,V_w,O_w,Op_w),\quad \sum R=1
]

This is the primitive representation of hybrid states.

2.1 Interpreting R(t)

  • A_w high → exploring new corridors (symmetry breaking)
  • V_w high → selecting a direction/goal
  • O_w high → gating with metrics/thresholds
  • Op_w high → executing repeatably (symmetry preserving)

3) The Role Lattice (Meta-Lattice)

Define the role space:

[
\mathcal{R}={(A_w,V_w,O_w,Op_w)\ |\ A_w,V_w,O_w,Op_w\ge0,\ \sum=1}
]

This simplex is the Role Lattice.

Movement in this space is role drift.

4) Canonical Hybrid Forms (Locked Set)

H1 — A–V (Architect–Visionary)

Function: generate options with directional bias.
Use: strategy design, reform proposals, new curriculum architectures.
Risk: without Oracle, becomes charismatic chaos.

H2 — A–O (Architect–Oracle)

Function: constrained recombination; create new structures that satisfy metrics.
Use: standards redesign, optimisation under constraints, system engineering.
Risk: can become sterile/overfit without Vision.

H3 — A–Op (Architect–Operator)

Function: adaptive execution rerouting; reconfigure pipelines quickly.
Use: incident response, logistics reroute, staffing reallocation.
Risk: burns out; high tempo novelty inside execution.

H4 — V–O (Visionary–Oracle)

Function: direction + measurement; “strategic governance.”
Use: national planning with clear metrics.
Risk: may under-generate alternatives (low A).

H5 — V–Op (Visionary–Operator)

Function: disciplined transformation execution.
Use: mission-driven rollout with stable SOP.
Risk: can push pace too fast, raising symmetry injection.

H6 — O–Op (Oracle–Operator)

Function: compliance + reliability; stable interior operations.
Use: exams, audits, safety-critical operations, bureaucracy.
Risk: ossification; low innovation; boundary shrinks.

H7 — A–V–O–Op (Full Stack Active)

Function: civilisation-grade cognition: generate→select→gate→execute continuously.
Use: rare; requires buffers and strong gating.
Risk: without buffers, overload and collapse.

5) Decision Corridor Representation

A decision or action corridor can be defined as:

[
Corridor = (Z, P, R, \Delta S, L, K)
]

Where:

  • Z = zoom scale
  • P = phase reliability
  • R = role mix
  • ΔS = symmetry break magnitude (choice disruption)
  • L = tempo/load
  • K = context (domain constraints)

This makes decisions computable.

6) Region & Tempo Allocation Rules (Critical)

6.1 Interior rule

If tempo is high (L high), interior operations must be:

  • Op-heavy
  • O-supported
  • minimal A/V injection

6.2 Boundary rule

Architect/Visionary work must occur:

  • at lower tempo
  • in sandbox lanes
  • with Oracle gates
  • with protected buffers

Violation → symmetry overload → phase shear.

7) Role Diversity as Anti-Brittleness

Define Role Diversity Index (conceptual):

  • high diversity = multiple hybrids available
  • low diversity = system collapses into one mode (e.g., Op-only bureaucracy)

Low diversity increases brittleness:

  • fewer alternative corridors
  • harder recovery
  • higher cascade risk from shocks

This ties directly to your Over-Concentration Brittleness Law.

8) Failure Patterns (Role-Lattice Collapse)

Pattern 1: Op-only lock

Stable short term, ossified long term → cannot adapt → collapse under shock.

Pattern 2: A-only flood

High novelty, no stability → chaos → bind deletion.

Pattern 3: V-only storm

Reform churn → fragmentation → interior collapse.

Pattern 4: O-only tyranny

Metric gaming → wrong objective → hidden decay.

9) Failure Mode Trace (Required)

Role diversity shrinks → system stuck in Op-only interior → boundary corridors disappear → adaptation fails → shock hits → R(t) forced into chaotic A inside interior → symmetry overload → P1→P0 collapse.
Repair: restore sandbox boundary, rebuild Oracle gates, reintroduce safe hybrid corridors, stabilise Op routines.

Almost-Code Spec Block (Copyable)

AVOO.RoleLattice.v1.0

RoleMix:
  R(t) = (A_w, V_w, O_w, Op_w), sum=1
Role Lattice:
  R-space := simplex of all valid role mixes
  RoleDrift := ΔR over time
Decision Corridor:
  Corridor := (Z, P, R, ΔS, L, K)
    Z := zoom scale
    P := phase reliability
    R := role mix
    ΔS := symmetry break magnitude
    L := tempo/load
    K := context constraints
Allocation Rules:
  Interior(high L): Op-heavy, O-supported, minimal A/V injection
  Boundary(low L): A/V allowed, O-gated, sandboxed, buffer-protected
Failure:
  Wrong hybrid in wrong region/tempo => symmetry overload => phase shear => collapse risk

FAQ (Short)

Q1: Can one person be multiple roles?
Yes. Roles are functions. The vector R(t) captures the mix.

Q2: Why does role diversity matter?
It prevents brittleness. More hybrid corridors means more ways to recover.

Q3: What’s the safest system design?
Stable Op interior, strong O gates, slow-cadence V direction, sandboxed A exploration.

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