VDJ Recombination

Artificial Organism Intelligence (AOI): TEQA v3.0 Neural Transposable Element Integration and V(D)J Recombination Engine This record contains two core components of the Artificial Organism Intelligence (AOI) framework — a bio-inspired adaptive computation system that maps biological mechanisms to signal processing algorithms. TEQA v3.0 Neural TE Integration implements a 33-qubit quantum-inspired circuit architecture where 33 transposable element (TE) families serve as environmental signal sensors. Seven virtual neurons with unique L1 retrotransposition insertion profiles (somatic mosaicism) independently process signals and vote via majority consensus. A closed-loop domestication feedback mechanism amplifies TE activation patterns that precede favorable outcomes, implementing a spike-timing-dependent plasticity (STDP) analogue for transposon selection. Darwinian selection on the neural population eliminates underperforming neurons and reproduces successful ones with mutations. V(D)J Recombination Engine implements the vertebrate adaptive immune system's antibody generation mechanism as a strategy diversification algorithm. Variable (V), Diversity (D), and Joining (J) gene segments are recombined with junctional diversity to produce novel strategy antibodies evaluated against current environmental conditions. CRISPR-Cas9 immune memory blocks known-bad patterns. Syncytin fusion hybridizes complementary strategies. Both systems are operational components of the Quantum Children trading platform, deployed on MetaTrader 5 via Python bridges with Qiskit quantum circuit simulation. Author: James Jardine | ORCID: 0009-0004-9073-7192 | License: GPL-3.0