SUBIT – Structurizer

SUBIT is an elementary structurizer: a minimal, universal operator that transforms any input stream into a well‑defined subject‑state within a 64‑state topology.
It provides a foundational computational primitive for modeling subjective configurations, transitions, and dynamics across human, artificial, and hybrid systems.

SUBIT‑64 defines the complete space of possible elementary subject‑states.

Modern systems process data, signals, and events — but lack a universal way to represent subjective states.
SUBIT introduces a new class of technology:

• not a classifier
• not a statistical model
• not a neural network
• not a heuristic

SUBIT is a structurizer:
a deterministic operator that produces a structured subject‑state from any input, regardless of modality.

This makes SUBIT applicable to:

• AI agent architectures
• behavioral modeling
• narrative analysis
• UX and decision‑flow design
• cognitive systems
• psychological frameworks
• multi‑agent coordination
• state‑based reasoning engines

SUBIT — an elementary structurizer that converts any input stream into a structured subject‑state (STATE‑64).

The SUBIT algorithm performs:

1. filtering
2. normalization
3. projection onto 6 binary axes
4. construction of a 6‑bit state
5. placement within the 8×8 SUBIT‑64 matrix

This yields a stable, interpretable, topological representation of subjective configuration.

SUBIT‑64 is an 8×8 topology of all possible elementary subject‑states.

Each state is defined by a 6‑bit vector:

• first 3 bits → row (0–7)
• last 3 bits → column (0–7)

This structure provides:

• adjacency
• transitions
• cycles
• symmetry
• invariants

SUBIT‑64 is not a dataset — it is a universal coordinate system for subjectivity.

The algorithm transforms input X into a state S:

1. Filter
   Remove noise and irrelevant components.

2. Normalize
   Convert X into a unified representation.

3. Axis Projection
   Evaluate 6 binary axes:
   b₁, b₂, b₃, b₄, b₅, b₆ ∈ {0, 1}

4. State Construction
   Combine bits into a 6‑bit vector.

5. Matrix Mapping
   Map to SUBIT‑64 (row, column).

6. Context Integration (optional)
   Stabilize or adjust based on previous state.

Output:
S ∈ STATE‑64

Full algorithm specification is available in docs/theory/elementary-structurization-algorithm.md.

docs/
  overview/
  theory/
  technology/
  examples/
  diagrams/

specs/
src/
tests/
assets/

See docs/overview/introduction.md for a guided entry point.

SUBIT can be used to structurize:

• emotional states
• decision states
• narrative arcs
• behavioral patterns
• agent reasoning cycles
• UX flows
• cognitive transitions
• symbolic or sensory inputs

Examples are provided in docs/examples/.

SUBIT – Structurizer is currently in public release initialization.
Core documentation, specifications, and reference implementations are being expanded.

Open‑source license included in LICENSE.

Contributions are welcome.
See CONTRIBUTING.md for guidelines.