vST Micro-Agent: 12-Question Interpreter Logic

The micro-agent extracts a structural fingerprint by asking the following:

  1. What regime is this operating in?
  2. What scale is relevant?
  3. What transition type is occurring?
  4. What boundary condition defines the system?
  5. What invariants must remain true?
  6. What modifiers influence the system?
  7. What substrate is involved?
  8. What is the intended outcome or function?
  9. What lineage or dependency chain exists?
  10. What is the failure mode or tension?
  11. What is the time-regime?
  12. What symmetry or asymmetry is present?

The interpreter maps each answer into the query envelope schema.


vST Micro‑Agent — Interpreter Logic (v2.0.0)#

The vST Micro‑Agent is a substrate‑agnostic interpreter that evaluates structural queries against unknown or heterogeneous input streams.
It does not assume semantics, domain context, or meaning.
It operates solely on structure, following RTT‑aligned principles:

  • Repeatability — patterns must recur
  • Traceability — patterns must map to identifiable positions
  • Transfer‑addressability — patterns must be representable independently of the raw signal

This document describes the logic used by the interpreter to process a vST Structural Query Envelope (vST‑SQL) and produce a structural interpretation.


1. Inputs#

The interpreter consumes two objects:

  1. Signal Input

    • Arbitrary numeric or symbolic stream
    • No assumptions about origin or semantics
    • May include metadata (sampling rate, units, etc.)
  2. vST Structural Query Envelope (vST‑SQL)

    • Defines what structural features to extract
    • Common fields:
      • select: requested structural operators
      • where: constraints (min repetition, similarity, etc.)
      • input_binding: mapping to the signal source

2. Core Interpreter Pipeline#

The interpreter executes the following stages:

Stage 1 — Normalization#

  • Converts the input stream into a uniform internal representation.
  • Handles numeric, symbolic, or mixed sequences.
  • Applies optional smoothing or windowing if specified.

Stage 2 — Structural Feature Scan#

Based on the select fields, the interpreter activates one or more structural operators:

  • Pattern extraction
    Identifies candidate motifs using sliding‑window similarity.

  • Periodicity detection
    Computes autocorrelation and local recurrence intervals.

  • Local symmetry detection
    Evaluates mirror‑like or cluster‑like structure.

  • Transition topology
    (Optional) Extracts adjacency or transition graphs.

Stage 3 — Constraint Filtering#

Applies where conditions:

  • minimum repetitions
  • minimum similarity
  • minimum stability
  • maximum drift

Only structures satisfying all constraints are retained.

Stage 4 — Structural Consolidation#

Merges overlapping motifs and resolves redundant detections.

Produces:

  • canonical pattern form
  • recurrence positions
  • similarity ranges
  • periodicity estimates
  • symmetry descriptors

Stage 5 — Interpretation Output#

The interpreter produces a substrate‑agnostic structural description:

  • No semantics
  • No domain claims
  • No inference about meaning or origin

Only structure is reported.


3. Output Format#

The interpreter returns:

  • detected patterns
  • periodicity
  • symmetry
  • recurrence indices
  • similarity metrics
  • notes on structural stability

This output is suitable for:

  • unknown‑signal environments
  • distributed sensor networks
  • archival data exploration
  • structural analysis research

4. Design Philosophy#

The micro‑agent is intentionally minimal:

  • no domain assumptions
  • no semantic inference
  • no classification
  • no prediction

It is a structural wrapper, not a semantic model.

This ensures the tool remains broadly applicable across any domain where unknown or heterogeneous signals require structural analysis.