Skip to content

EchoCog/echo.kern

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

Echo.Kern - Deep Tree Echo State Networks Operating System Kernel

A revolutionary neuromorphic computing kernel implementing Deep Tree Echo State Networks (DTESN) for real-time cognitive processing.

License Documentation DTESN

🌳 What is Echo.Kern?

Echo.Kern is a specialized real-time operating system kernel designed to provide native support for Deep Tree Echo State Networks (DTESN). It represents a groundbreaking synthesis of three fundamental computational architectures, unified by the OEIS A000081 rooted tree enumeration as their topological foundation.

The DTESN Trinity Architecture

graph TD
    A[OEIS A000081<br/>Rooted Tree Foundation] --> B[Deep Aspects<br/>P-System Membranes]
    A --> C[Tree Aspects<br/>B-Series Ridges]
    A --> D[ESN Core<br/>Elementary Differentials]
    
    B --> E[Echo.Kern<br/>Unified Implementation]
    C --> E
    D --> E
    
    E --> F[Real-time Neuromorphic<br/>Computing Platform]
    
    style A fill:#e1f5fe
    style E fill:#f3e5f5
    style F fill:#e8f5e8
Loading

🧠 Core Components

1. Deep Aspects: P-System Membrane Computing

  • Hierarchical membrane structures for parallel computation
  • P-lingua rule evolution within kernel space
  • Cross-membrane communication following tree topology

2. Tree Aspects: B-Series Rooted Tree Ridges

  • Mathematical B-series computation for differential operators
  • Rooted tree enumeration for structural organization
  • Ridge-based topological processing

3. ESN Core: Echo State Networks with ODE Elementary Differentials

  • Reservoir computing with temporal dynamics
  • ODE-based state evolution
  • Real-time learning and adaptation

πŸ“Š Mathematical Foundation

The kernel is built upon OEIS A000081 - the enumeration of unlabeled rooted trees:

A000081: 1, 1, 2, 4, 9, 20, 48, 115, 286, 719, 1842, 4766, 12486, ...

Asymptotic Growth: T(n) ~ D Ξ±^n n^(-3/2) where:

  • D β‰ˆ 0.43992401257...
  • Ξ± β‰ˆ 2.95576528565...

This enumeration provides the fundamental topological grammar for all DTESN subsystems.

πŸš€ Quick Start

Prerequisites

  • Linux kernel development environment
  • GCC 9.0+ with real-time extensions
  • Python 3.8+ for specification tools
  • Mermaid CLI for diagram generation

Building the Kernel

# Clone the repository
git clone https://github.com/EchoCog/echo.kern.git
cd echo.kern

# Review the kernel specification
python echo_kernel_spec.py

# Build documentation
make docs

# Build kernel (implementation in progress)
make kernel

Running Examples

# Interactive Deep Tree Echo demonstration
open index.html

# Explore P-System membrane computing
python -m plingua_guide

# Review technical specifications
make docs && open docs/index.html

πŸ“– Documentation

πŸ”§ Development Status

Current Phase: Architecture Definition & Specification

Implementation Progress

  • Mathematical foundation (OEIS A000081)
  • DTESN architecture specification
  • P-System membrane computing framework
  • Echo State Network core design
  • Kernel implementation (in progress)
  • Real-time scheduling
  • Hardware abstraction layer
  • Neuromorphic device drivers

See DEVO-GENESIS.md for detailed development roadmap.

πŸ§ͺ Echo9 Development Area

The echo9/echo-kernel-functions/ directory contains organized prototype implementations and experimental code for Echo.Kern DTESN development:

Structure

  • dtesn-implementations/ - DTESN component implementations (P-Systems, B-Series, ESN, OEIS validation)
  • kernel-modules/ - Real-time kernel module implementations and build system
  • neuromorphic-drivers/ - Hardware abstraction layer for neuromorphic devices
  • real-time-extensions/ - Real-time scheduler extensions and performance validation

Usage

# Validate entire echo9 area
make echo9-validate

# Test DTESN prototypes
make echo9-test

# Build kernel modules (requires kernel headers)
make echo9-modules

All echo9 components follow DTESN coding standards and integrate with the main project validation system.

🎯 Key Features

  • Real-time Determinism: Bounded response times for critical operations
  • Neuromorphic Optimization: Native support for event-driven computation
  • Mathematical Rigor: Implementation faithful to OEIS A000081 enumeration
  • Energy Efficiency: Optimized for low-power neuromorphic hardware
  • Scalability: Support for hierarchical reservoir architectures

Performance Targets

Operation Requirement Rationale
Membrane Evolution ≀ 10ΞΌs P-system rule application
B-Series Computation ≀ 100ΞΌs Elementary differential evaluation
ESN Update ≀ 1ms Reservoir state propagation
Context Switch ≀ 5ΞΌs Real-time task switching

🀝 Contributing

We welcome contributions to Echo.Kern! Please see DEVELOPMENT.md for:

  • Development environment setup
  • Coding standards and guidelines
  • Testing procedures
  • Contribution workflow

Development Workflow

The project uses automated issue generation systems:

General Development:

C/C++ Kernel Implementation:

The C/C++ kernel workflow generates detailed implementation issues with:

  • Technical specifications and performance targets
  • Code templates and structure guidelines
  • Comprehensive testing requirements
  • OEIS A000081 compliance checks
  • Real-time constraint validation

πŸ“„ License

This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.

πŸ”— References


Echo.Kern - Where memory lives, connections flourish, and every computation becomes part of something greater than the sum of its parts.

About

echo kernel

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •