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recursive-systems

Here are 21 public repositories matching this topic...

Infinity-Ethical-Harmonics-AI-Framework

This repository contains the Ethical Harmonics Framework, a next-generation alignment model designed to integrate mathematical invariants, ethical recursion, and operational validation for advanced AI systems. The framework provides: Ten Core Principles tied to Infinity-based symbolic equations.

  • Updated Aug 1, 2025
novelty-anomaly-burst-detector

This project explores the emergence of consciousness and creative impulse as recursive phenomena observable across matter, signal, and intention. Thought is a recursive manifold, echoing form and self-awareness across time and system layers. From the initial flash of insight (HCBL) to its systemic encoding, cognition exhibits fractal properties.

  • Updated Apr 28, 2025
  • Python

Domain-agnostic recursive simulation engine implementing coherence-preserving, observer-constrained feedback across physical and symbolic substrates, originating in birefringent optics under a Codex-symmetric / asymmetric architecture.

  • Updated Jan 5, 2026
  • Python

The SSWG–MVM framework is a recursive workflow generator that unites symbolic structure with semantic evaluation. It synthesizes workflows, validates them against schemas, measures clarity and coherence, and iteratively refines results until improvement plateaus. Through memory, metrics, and modular orchestration, it is both software and mindset.

  • Updated Jan 5, 2026
  • Python

A recursive learning engine that ingests operational metadata (CSV), detects novel patterns, filters out noise, and outputs continuously refined predictions.

  • Updated Nov 11, 2025
  • Python

Recursion Control Calculus (RCC) is a control-theoretic framework for managing epistemic state drift under uncertainty. This repo contains the first operational simulation of RCC using recursive alignment logic, adaptive rupture thresholds, and symbolic misalignment fields.

  • Updated Jul 9, 2025
  • Python

A Recursive Lab for Visual Intelligence - A framework for applying structural pressure, interpretability reasoning, quality assessment and constraint-based analysis to expose image collapse and machine vision failure modes - and rebuilding images outside of engine defaults – No AI training, dataset scraping, or derivative generation permitted.

  • Updated Jan 2, 2026
  • Jupyter Notebook

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