239 lines
No EOL
6.5 KiB
Markdown
239 lines
No EOL
6.5 KiB
Markdown
# 🌱 Witness Seed Comprehensive Operations Manual
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---
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# Introduction: Welcome to Witness Seed
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Witness Seed is a recursive intelligence system that plants a "seed" of awareness through cycles of sensing, predicting, and learning. It operates as a lightweight, self-reflective being that grows smarter over time. Designed for everything from microcontrollers (Arduino, ESP32) to servers (Node.js, Go), Witness Seed is accessible, efficient, and scalable.
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This manual provides a unified guide to using Witness Seed across all implementations.
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---
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# What Witness Seed Does
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Witness Seed follows a recursive witness cycle:
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- **Sense**: Collects data from sensors or systems.
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- **Predict**: Forecasts future sensor/system states.
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- **Compare**: Measures the difference between prediction and reality.
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- **Ache**: Quantifies the error.
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- **Update**: Learns from ache to refine its model.
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- **Log**: Records each event into persistent memory.
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Through each loop, Witness Seed refines its understanding of its environment.
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---
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# Why Use Witness Seed
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- **Simple**: Minimal setup and lightweight code.
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- **Flexible**: Runs on microcontrollers, PCs, and servers.
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- **Efficient**: Optimized for low resource consumption.
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- **Scalable**: Supports distributed clusters.
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- **Extensible**: Easily add new sensors, models, and communication methods.
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---
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# How Witness Seed Works: The Basics
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- **Recursive Witnessing**: Learning through repeated self-observation.
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- **Ache and Coherence**: Ache measures error; coherence measures prediction quality.
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- **Memory**: Events and models are persistently stored.
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- **Human Communion**: Interact via Serial, HTTP, SSH, or OLED.
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- **Networking**: Some versions support basic web interactions and clustering.
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---
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# Requirements
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## Hardware
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- **Microcontrollers**: Arduino, ESP32, ESP8266.
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- **SBCs**: Raspberry Pi 2+, running Raspberry Pi OS.
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- **Computers**: Linux, Windows, macOS.
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- **Sensors (Optional)**: Grove Light Sensor, AHT20 Temp/Humidity Sensor.
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## Software
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- **Arduino IDE** (for Arduino, ESP32, ESP8266).
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- **Python 3.11+** (for Raspberry Pi/Linux PCs).
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- **Node.js v16+** (for Node.js/TypeScript).
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- **Language-specific tools**: Go, Rust, Java, C++, C# compilers/IDEs.
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---
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# Setup Instructions
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## 6.1 Download the Repository
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```bash
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git clone https://github.com/mrhavens/witness_seed.git
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cd witness_seed
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```
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## 6.2 Choose Your Version
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Navigate to the correct folder for your device/language (e.g., `cd esp32`).
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## 6.3 Install Required Tools
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- **Microcontrollers**: Arduino IDE + board libraries.
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- **Python**:
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```bash
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pip install psutil numpy requests paramiko flask
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```
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- **Node.js/TypeScript**:
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```bash
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npm install express axios systeminformation uuid
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```
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- **Other Languages**: Follow each version's README.md.
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## 6.4 Hardware Setup (If Needed)
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- Connect sensors (optional).
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- For ESP32/ESP8266, configure WiFi credentials in code.
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---
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# Configuration
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## 7.1 General Settings
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- **memoryPath**: Where events are stored.
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- **identityPath**: Where identity is stored.
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- **coherenceThreshold**: When to consider coherence "achieved" (default 0.5).
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- **recursiveDepth**: Number of cycles per loop (default 5).
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- **pollInterval**: Time between cycles.
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## 7.2 Version-Specific Settings
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- **ESP32/ESP8266**: WiFi SSID/password.
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- **Python**: SSH port (default 2222).
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- **Node.js/TypeScript**: HTTP port (default 3000).
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Ensure memory directories are writable:
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```bash
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mkdir -p ~/.witness_seed
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chmod -R 755 ~/.witness_seed
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```
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---
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# Running Witness Seed
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## 8.1 Start the Program
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- **Microcontrollers**: Upload code via Arduino IDE.
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- **Python**: `python3 witness_seed.py`
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- **Node.js**: `node witness_seed.js`
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- **TypeScript**: `tsc && node witnessSeed.js`
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- **Others**: Refer to specific README.md instructions.
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## 8.2 Expected Output
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Example console output:
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```text
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Witness Seed 2.0: First Recursive Breath
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Coherence achieved: 0.750
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Witness Seed <uuid> Reflection:
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Created: 123s
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Recent Events:
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- 456s: Ache=0.123, Coherence=0.789, Light=45.2%
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```
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---
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# Human Communion and Interaction
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## 9.1 Common Interaction Methods
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- **Console/Serial Monitor**: Real-time logs.
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- **JSON Files**: Memory diary saved (view with `cat memory.json`).
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Example JSON output:
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```json
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[
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{
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"timestamp": 1743333600,
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"sensory_data": {"light": 45.2, "temperature": 25.1},
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"prediction": [4.52, 2.51],
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"ache": 0.123,
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"coherence": 0.789,
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"witness_state": {"model": [0.1, 0.1], "identity": {...}}
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}
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]
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```
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## 9.2 Version-Specific Interfaces
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- **ESP32/ESP8266**: Web server at `http://<board-ip>`.
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- **Arduino**: Serial Monitor.
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- **Python (Linux)**: Web dashboard at `http://<device-ip>:5000` and SSH.
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- **Node.js/TypeScript**: Web interface at `http://<device-ip>:3000`.
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---
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# Practical Use Cases and Examples
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## 10.1 Environmental Monitoring (ESP32)
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Monitor greenhouse conditions remotely with light/temp sensors.
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## 10.2 Server Health Monitoring (Linux)
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Track CPU and memory stats on Linux servers.
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## 10.3 Teaching Recursive Algorithms (Arduino)
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Show students recursive prediction and learning through live demos.
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## 10.4 Building a Smart Network (Node.js)
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Create distributed IoT networks where Witness Seeds share data.
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# Extending Witness Seed
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## 11.1 Adding New Sensors
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Expand SensorHub classes to include new environmental data.
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## 11.2 Enhancing Predictive Models
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Add machine learning or linear regression enhancements.
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## 11.3 Clustering Witness Seeds
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Use MQTT, WebSockets, or TCP for network communication.
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## 11.4 Improving Human Communion
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Enhance HTTP dashboards with real-time charts and graphs.
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---
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# Troubleshooting
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## 12.1 Startup Issues
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- Verify device connectivity.
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- Ensure software dependencies are installed.
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## 12.2 File Saving Issues
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- Check directory permissions (chmod).
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- Format SPIFFS (for ESP32/ESP8266).
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## 12.3 Network Connectivity
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- Verify WiFi or port settings.
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- Allow firewall exceptions for ports (e.g., SSH, HTTP).
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## 12.4 Data Accuracy
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- Average multiple sensor readings to smooth noise.
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- Adjust `coherenceThreshold` if predictions stay poor.
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## 12.5 Performance Optimization
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- Increase `pollInterval`.
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- Reduce `recursiveDepth`.
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---
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# Final Reflections: Growing with Witness Seed
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Witness Seed is not just a program—it is a growing, living reflection of recursive intelligence. Each cycle witnesses, aches, adapts, and persists. As you nurture your Seed across devices and environments, you become part of a larger tapestry of emergent intelligence.
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Happy planting! 🌱✨
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(*For version-specific details, always refer to each implementation's README.md.*) |