Daedalus-4.5

Daedalus 4.5 Mobile AI Assistant

A React Native mobile application prototype demonstrating advanced AI assistant concepts including recursive processing, ethical decision-making frameworks, and biometric data visualization.

Project Status

Current State: Development Prototype
Version: 4.5.0
Platform: React Native with Expo Router
Target: Mobile-first web application

This is an experimental prototype built to explore and demonstrate concepts in mobile AI assistant design. It is not intended for production use and contains simulated data for demonstration purposes.

Overview

Daedalus 4.5 is a mobile AI assistant prototype that implements theoretical cognitive architecture patterns through an interactive user interface. The application demonstrates concepts from synthetic cognitive intelligence research through visual simulations and interactive components.

Key Concepts Demonstrated

• Recursive Processing Simulation: Visual representation of multi-layered cognitive processing
• Ethical Decision Framework: Interactive demonstration of principle-based decision matrices
• Biometric Data Visualization: Simulated real-time monitoring of various biometric signals
• Cognitive Metrics Display: Real-time visualization of processing states and system health
• Testing Environment: Sandbox for exploring ethical scenarios and system responses
• Technical Documentation: Comprehensive architecture and implementation details

Technical Architecture

Core Technologies

• Framework: React Native 0.79.1 with Expo SDK 53.0.0
• Navigation: Expo Router 5.0.2 with tab-based architecture
• UI Components: Custom components with React Native StyleSheet
• Icons: Lucide React Native for consistent iconography
• Animations: React Native Reanimated for smooth transitions
• Gestures: React Native Gesture Handler for touch interactions

Project Structure

app/
├── _layout.tsx              # Root layout with navigation stack
├── (tabs)/                  # Tab-based navigation structure
│   ├── _layout.tsx         # Tab navigation configuration
│   ├── index.tsx           # Main dashboard and processing engine
│   ├── ethics.tsx          # Ethical decision-making framework
│   ├── biometric.tsx       # Biometric data visualization
│   ├── sandbox.tsx         # Testing and scenario environment
│   ├── docs.tsx            # Technical documentation
│   └── settings.tsx        # System configuration
components/
├── ProcessingEngine.tsx     # Core processing visualization
├── CognitiveMetrics.tsx    # Real-time metrics display
├── SystemStatus.tsx        # System health monitoring
├── EthicalDecisionMatrix.tsx # Ethical framework visualization
├── PASKernel.tsx           # Principle-based decision engine
├── BiometricVisualizer.tsx # Biometric data charts
├── AnomalyDetector.tsx     # Anomaly detection display
├── TestRunner.tsx          # Test execution interface
└── ScenarioBuilder.tsx     # Scenario creation tools

Features

1. Processing Engine Dashboard

• Real-time cognitive metrics visualization
• Recursive processing depth monitoring
• System health indicators
• Performance benchmarks display
• Interactive processing controls

2. Ethical Decision Framework

• Principle-based decision matrix (PAS Kernel simulation)
• Real-time ethical scoring visualization
• Beneficence, non-maleficence, autonomy, and justice metrics
• Decision transparency and auditability
• Mathematical stability indicators

3. Biometric Integration Simulation

• EEG pattern visualization (simulated data)
• Thermal variance monitoring
• Electromagnetic field detection
• Anomaly detection algorithms
• Real-time data streaming interface

4. Testing Sandbox

• Ethical scenario builder
• Custom test case creation
• Performance validation tools
• Cognitive stability testing
• Results analysis and reporting

5. Technical Documentation

• Architecture overview and design principles
• API reference and component documentation
• Security protocols and implementation details
• Performance benchmarks and optimization guides
• Mathematical proofs and stability calculations

6. System Configuration

• Processing parameter adjustment
• Security protocol configuration
• Interface customization options
• Performance monitoring settings
• Data privacy controls

Installation

Prerequisites

• Node.js 18.0.0 or higher
• npm or yarn package manager
• Expo CLI (optional, for additional development tools)

Setup

1. Clone the repository:

   git clone [repository-url]
   cd daedalus-mobile-ai
   

2. Install dependencies:

   npm install
   

3. Start the development server:

   npm run dev
   

4. Open the application:
   • Web: Navigate to the provided localhost URL
   • Mobile: Use Expo Go app to scan the QR code

Development

Available Scripts

• npm run dev - Start development server with hot reload
• npm run build:web - Build for web deployment
• npm run lint - Run code linting

Development Guidelines

• Follow React Native and Expo best practices
• Maintain component modularity and separation of concerns
• Use TypeScript for type safety
• Implement proper error handling and loading states
• Follow accessibility guidelines (WCAG 2.1)
• Write comprehensive component documentation

Code Organization

• Components: Reusable UI components with single responsibilities
• Hooks: Custom React hooks for state management and side effects
• Types: TypeScript type definitions and interfaces
• Utils: Utility functions and helper methods
• Constants: Application constants and configuration values

Technical Specifications

Performance Characteristics

• Bundle Size: Optimized for mobile delivery
• Memory Usage: Efficient state management with minimal overhead
• Rendering: 60fps animations with React Native Reanimated
• Responsiveness: Sub-100ms interaction response times
• Battery Impact: Optimized for minimal battery drain

Browser Compatibility

• Primary: Modern mobile browsers (iOS Safari, Chrome Mobile)
• Secondary: Desktop browsers for development and testing
• Requirements: ES2020+ support, WebGL capabilities

Data Handling

• Local Storage: React Native AsyncStorage for preferences
• State Management: React hooks and context for application state
• Data Simulation: Realistic synthetic data for demonstration
• Privacy: No external data transmission in current implementation

Security Considerations

Current Implementation

• Client-side only processing (no external API calls)
• Local data storage with no cloud synchronization
• Simulated biometric data (no actual sensor access)
• No user authentication or personal data collection

Future Security Roadmap

• Zero-knowledge authentication protocols
• End-to-end encryption for sensitive data
• Quantum-resistant cryptographic implementations
• Federated learning capabilities
• Comprehensive audit logging

Known Limitations

Technical Limitations

• Simulated Data: All biometric and processing data is simulated
• No Real AI: Cognitive processing is visualization-only
• Platform Constraints: Limited to web-compatible React Native features
• No Persistence: Application state resets on reload
• No Networking: Currently operates entirely offline

Prototype Constraints

• Research Purpose: Built for concept demonstration, not production use
• Limited Testing: Requires comprehensive testing for production deployment
• Performance: Not optimized for resource-constrained devices
• Accessibility: Requires additional accessibility testing and improvements

Roadmap

Phase 1: Foundation (Current)

• ✅ Core UI architecture and navigation
• ✅ Component library and design system
• ✅ Simulated data visualization
• ✅ Basic interaction patterns

Phase 2: Enhancement (Planned)

• Real biometric sensor integration
• Advanced animation and micro-interactions
• Comprehensive testing suite
• Performance optimization
• Accessibility improvements

Phase 3: Intelligence (Future)

• Machine learning model integration
• Real-time data processing capabilities
• Advanced ethical reasoning algorithms
• Predictive analytics and insights

Phase 4: Production (Long-term)

• Security audit and hardening
• Scalability testing and optimization
• Regulatory compliance validation
• Production deployment infrastructure

Contributing

Development Setup

1. Ensure all prerequisites are installed
2. Follow the installation instructions above
3. Create a new branch for your feature or bug fix
4. Make changes following the coding standards
5. Test thoroughly on multiple devices and screen sizes
6. Submit a pull request with detailed description

Coding Standards

• Use TypeScript for all new code
• Follow React Native and Expo conventions
• Implement proper error boundaries and loading states
• Write unit tests for utility functions
• Document complex algorithms and business logic
• Maintain consistent code formatting with Prettier

Testing Guidelines

• Test on multiple screen sizes and orientations
• Verify accessibility with screen readers
• Validate performance on lower-end devices
• Test offline functionality and error states
• Ensure smooth animations and transitions

Documentation

Architecture Documentation

The application follows a modular architecture with clear separation of concerns:

• Presentation Layer: React Native components and screens
• Business Logic: Custom hooks and utility functions
• Data Layer: Simulated data providers and state management
• Infrastructure: Expo configuration and build system

API Reference

All components are documented with TypeScript interfaces and JSDoc comments. Key interfaces include:

• CognitiveMetrics: Processing performance and health indicators
• EthicalDecision: Principle-based decision framework data
• BiometricData: Simulated sensor data structures
• TestScenario: Testing framework configuration objects

Performance Benchmarks

Current Metrics (Development Environment)

• Initial Load: ~2-3 seconds on modern mobile devices
• Navigation: <100ms between tab transitions
• Animation Performance: 60fps on supported devices
• Memory Usage: ~50-80MB typical usage
• Bundle Size: ~15-20MB (unoptimized development build)

Note: These are preliminary benchmarks from development testing and may not reflect production performance.

License

This project is currently unlicensed. All rights reserved.

Disclaimer

This is a research prototype developed for educational and demonstration purposes. It is not intended for production use, medical applications, or any safety-critical systems. The biometric monitoring features are simulated and should not be used for actual health monitoring or decision-making.

The ethical decision-making framework is a conceptual demonstration and should not be relied upon for real-world ethical guidance or automated decision-making in sensitive contexts.

Contact

For questions about this prototype or collaboration opportunities, please refer to the project’s issue tracker or contact the development team through appropriate channels.

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Built with React Native and Expo

Prototype Version 4.5.0

Last Updated: 2025