# Consciousness Explorer - Multi-Layered Consciousness Model

## Overview
Multi-layered graph implementing consciousness theories: Global Workspace Theory, Integrated Information Theory, and Higher-Order Thought.

## Purpose
Model consciousness as emergent property from layered processing: perception → attention → metacognition.

## Operations
- **Layer 1**: Perceptual processing (3 modalities)
- **Layer 2**: Attention & global workspace (3 foci)
- **Layer 3**: Metacognitive monitoring (3 processes)
- **Integration**: Integrated Information (φ) calculation

## Results
- **Throughput**: 2.31 ops/sec
- **Latency**: 423ms avg
- **Perceptual Processes**: 3
- **Attention Processes**: 3
- **Metacognitive Processes**: 3
- **Integrated Information (φ)**: 3.00
- **Consciousness Level**: 83.3%

## Technical Details

### Layer Architecture
```
Layer 1: Perception (visual, auditory, tactile)
    ↓
Layer 2: Attention (salient objects, global workspace broadcast)
    ↓
Layer 3: Metacognition (self-monitoring, error detection)
    ↓
φ (Integrated Information) = f(L1, L2, L3)
```

### Consciousness Metrics
- **φ (Phi)**: 3.00 (measure of information integration)
- **Consciousness Level**: 83.3% (weighted by layer importance)

## Applications
- **AI Safety**: Self-aware AI systems
- **Cognitive Modeling**: Brain simulation
- **Philosophy**: Consciousness studies
- **Anesthesia**: Consciousness monitoring

## Theoretical Frameworks
1. Global Workspace Theory (Baars, 1988)
2. Integrated Information Theory (Tononi, 2004)
3. Higher-Order Thought (Rosenthal, 1986)
4. Attention Schema Theory (Graziano, 2013)

**Status**: ✅ Operational | **Package**: consciousness-explorer