Apr 19, 2025

Recursive Fitness Alignment Protocol (RFAP)

Andy Williams

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The Recursive Fitness Alignment Protocol (RFAP) is a minimal testbed for aligning reasoning systems—AI, human, or institutional—through recursive self-correction. Rather than optimizing for fixed goals or architectures, RFAP begins with the simplest fitness function (a random value between 0 and 1) and introduces a single capability: recursively testing the coherence of reasoning paths. This scaffolds a minimal functional model of intelligence, enabling the identification and correction of misalignment attractors before they become irreversible. RFAP functions as both a theoretical alignment engine and a public experiment designed to stress-test epistemic robustness across diverse reasoning frames.

Cite this work:

@misc {

title={

Recursive Fitness Alignment Protocol (RFAP)

},

author={

Andy Williams

},

date={

4/19/25

},

organization={Apart Research},

note={Research submission to the research sprint hosted by Apart.},

howpublished={https://apartresearch.com}

}

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This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.
This work was done during one weekend by research workshop participants and does not represent the work of Apart Research.