Ndeleh Fish Bone Algorithm (N-FBA): A biologically-inspired associative intelligence model.
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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