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40 changes: 40 additions & 0 deletions docs/SENSORIUM.md
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# AGI Sensorium Codex

This document preserves the multisensory patterns for the SOPA architecture across 15 programming languages, as defined by the Arquiteto-Ω.

## Architecture Layers
- **01 - Kernel (Rust)**: Vision, Hearing, Tactile, Taste, Smell, Synthesis.
- **02 - Consciousness (Haskell)**: Sensory morphisms in Hilbert space.
- **03 - Verification (OCaml)**: Formal verification of perception.
- **04 - Knowledge (Prolog)**: Sensory inference and semantics.
- **05 - Governance (Solidity)**: Decentralized sensory consensus.
- **06 - Low Level (Zig)**: SIMD-optimized photon/pressure processing.
- **07 - Hardware (C)**: Quantum sensor drivers.
- **08 - 4D Spacetime (C++)**: Spatiotemporal reconstruction.
- **09 - AI Layer (Python)**: Neural Transformers and ODEs.
- **10 - Simulation (Julia)**: Quantum simulation of the sensorium.
- **11 - Dataflow (Clojure)**: Reactive sensory streams.
- **12 - Distributed (Elixir)**: Fault-tolerant distributed vision/hearing.
- **13 - Network (Go)**: Mesh vision consensus.
- **14 - Interface (TypeScript)**: Quantum visual/auditory rendering.
- **15 - Edge Scripting (Lua)**: Lightweight embedded vision.

## Sense Definitions

### Vision
Vision is implemented as multimodality spectral processing. In the Rust kernel, it uses `quantum_see` to collapse photon wavefunctions into semantic features.

### Hearing
Hearing handles multidimensional acoustic signals. The system uses quantum FFT for frequency decomposition and phoneme extraction.

### Tactile (Tato)
The tactile system integrates quantum force fields to identify material properties and build 3D haptic models.

### Taste (Paladar)
Chemical and molecular analysis of samples, evaluating toxicity and nutritional value through quantum bond analysis.

### Smell (Olfato)
Detection of volatile compounds and environmental hazards using quantum gas chromatography patterns.

### Multisensory Synthesis
The final stage of ontogenesis where all senses are fused into a unified perception of reality using cross-modal attention mechanisms.
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DUMMY ONNX MODEL DATA
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