Open-ended natural selection of interacting code-data-dual algorithms as a property analogous to Turing completeness.
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Updated
May 26, 2024
Open-ended natural selection of interacting code-data-dual algorithms as a property analogous to Turing completeness.
An ecosystem simulator written in python with genes and a low-level brain.
Automated and distributed population genetic model inference from allele frequency spectra
Simulate human survival against zombies
Scripts, analysis code, input data, and intermediate files for response to Soni et al.
R code and data to reproduce the analysis in Palacio & Ordano (2023) Evolution
Code associated with 'Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic'
Алгоритмы : симуляция эволюции (естественный отбор).
A simple ecosystem simulation written in Rust and Bevy
A little world, with little beings
A simulator of ecosystems, where multiple species can be established and hierarchies can be built between organisms.
Code and data for: James ME et al. (2021) Phenotypic and genotypic parallel evolution of parapatric ecotypes in Senecio. Evolution. 75, 3115-3131.
Code and data for: James ME et al. (2021) Highly replicated evolution of parapatric ecotypes. Molecular Biology and Evolution. 38(11), 4805-4821.
A python example of a genetic algorithm
Code and data for: James et al. ME (2023). Uncovering the genetic architecture of parallel evolution. Molecular Ecology.
Program for estimating πN/πS, dN/dS, and other diversity measures from next-generation sequencing data
Estimating temporally variable selection intensity from ancient DNA data with a combination of forward- and backward-in-time simulations
This is simulation of how bugs live
Simple Genetic Algorithm simulation in Unity - zombies evolution - avoiding obstacles and finding correct path to target
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