README.md

metadata

title: Malbolge Evolution Engine
emoji: 🧬
colorFrom: yellow
colorTo: red
sdk: gradio
sdk_version: 5.12.0
app_file: app.py
pinned: false
license: cc-by-sa-4.0
tags:
  - evolutionary-computation
  - malbolge
  - gpu-evolution
  - ternary-computing
  - cognitive-specialization
  - omega-kernel
suggested_hardware: cpu-basic

Malbolge Evolution Engine

GPU-Accelerated Ternary Genome Evolution → Omega Kernel Specialization

What This Is

A live demo of the Malbolge-Omega bridge — the system that evolves populations of base-3 ternary genomes on GPU hardware and translates them into executable cognitive kernel configurations.

The Evolution Chain

Malbolge Genomes (8D, base-3) → crazy_op mutations → fitness evaluation
    → selection → bridge translation → Omega kernel parameters
        → behavioral clustering → 10 phenotypes from 60 organisms

Key Findings (Paper II)

• Monoculture collapse is the default outcome within ~16 generations
• Co-evolutionary environments self-organize counter-pressures without scheduling
• 10 distinct behavioral phenotypes emerge from 60 individuals (Shannon diversity: 0.98)
• Program-deterministic execution is the primary bottleneck, not genome diversity
• Small per-step perturbations (0.01–0.08) compound to produce population-level differentiation

Research

📄 Research Papers (Paper II) · 🧬 Kernel Demo · 🛡️ Cognitive Airbag

Author: Luis C. Villarreal — AHI Governance Labs ORCID: 0009-0009-2889-517X