Code and Data for "Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution"

# Code and Data for "Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution" This code and the associated data are meant to allow the reproduction of the results published in the article: Fabien C. Y. Benureau, Jun Tani; Morphological Development at the Evolutionary Timescale: Robotic Developmental Evolution. Artif Life 2022; doi: https://doi.org/10.1162/artl_a_00357 The code, post-processed results, and raw figures are available in `devoevo2022.tar.xz`. Use `tar -xvf devoevo2022.tar.xz` to decompress the archive. The `readme.md` file inside the `code/` directory provides instruction how to use the code. The code was run on Linux (Ubuntu 20.04, Arch Linux 2021) and MacOS (Intel 2020, Arm M1 2021). The `results_archives.tar` contains the full output of the simulations from which the published results are derived.

Keywords

robotics, machine learning, developmental robotics, devoevorobo, devoevo, morphological development, evolutionary robotics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average