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N-FBA V2: A modern fishbone root-cause reasoning engine for industrial diagnostics.

Project description

🐟 Ndeleh Fish Bone Algorithm (N-FBA)

Created by Ndeleh (2025)
A biologically-inspired associative intelligence algorithm that adapts its shape based on the structure of data.

N-FBA models human recall by building:

  • A dynamic spine (main associative path)
  • Ribs (secondary associations)
  • Micro-ribs (deep background associations)
  • An emergent morphology describing the final skeletal form

N-FBA works like a brain forming memories: you see something → it reminds you of something related → which triggers something else.


🔥 Features

  • 🧠 Dynamic Spine Builder
    Finds the strongest associative path in a graph.

  • 🦴 Rib + Micro-Rib Expansion
    Multi-level branching using decaying activation.

  • 🎨 Adaptive Morphology
    Output changes shape depending on data:

    • linear
    • rib-heavy
    • curved
    • clustered
    • sparse
  • 🐍 Python Library
    Import and run in your code.

  • 💻 Command Line Tool
    Run from terminal using:

    nfb --seed A
    

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