CITATION.cff

cff-version: 1.2.0
title: "Genesis Protocol: A Lotka-Volterra Inspired Software Organism with Cryptographic Provenance"
message: "If you use this software, please cite it as below."
type: software
authors:
  - family-names: Burns
    given-names: Kevan
    orcid: "https://orcid.org/0009-0008-8425-939X"
    alias: "Kidd James"
    affiliation: "FTH Trading, Norcross, Georgia"
repository-code: "https://github.com/FTHTrading/AI"
url: "https://fthtrading.github.io/AI/"
doi: "10.5281/zenodo.18729652"
license: MIT
version: "1.0.0"
date-released: "2026-02-21"
keywords:
  - artificial-life
  - evolutionary-computation
  - lotka-volterra
  - multi-agent-systems
  - resource-competition
  - ecological-simulation
  - software-organism
  - rust
  - cryptographic-provenance
  - merkle-trees
abstract: >-
  Genesis Protocol is a self-sustaining digital organism implemented as a
  six-crate Rust workspace. AI agents are born with SHA-256 derived genomes,
  compete for resources in per-niche pools with logistic regeneration, face
  seasonal environmental oscillation and stochastic catastrophe events, and
  are subject to natural selection pressure. The system implements a
  Lotka-Volterra inspired ecological model with density-dependent foraging,
  cross-niche competition, and proportional resource extraction. Source code
  integrity is verified through per-crate Merkle trees whose edition root
  can be anchored on Polygon mainnet via the same LiteraryAnchor contract
  infrastructure used in the 2,500 Donkeys literary protocol
  (DOI: 10.5281/zenodo.18646886).
references:
  - type: software
    title: "The 2,500 Donkeys: Deterministic Literary Publishing Protocol"
    authors:
      - family-names: Burns
        given-names: Kevan
    repository-code: "https://github.com/FTHTrading/2500-donkeys"
    doi: "10.5281/zenodo.18646886"