Much activity in the field of artificial life has been concerned with the search for appropriate and effective methods of quantifying open-ended behavior in evolutionary systems. The MODES Toolbox is a recent addition that employs a persistence filter over evolutionary lineages to focus attention only on those genotypes that are most adaptive. The Toolbox provides a useful and intuitive set of metrics in terms of change, novelty, complexity, and ecology. One domain thought to exhibit open-ended dynamics, the linguistic prediction game, is a ripe candidate for deeper statistical analysis. We apply the MODES Toolbox on this domain, lending support to prior hypotheses regarding evolutionary stable states while also suggesting that, in at least one case, the observed complexity growth is largely nonadaptive.

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General Conference
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© 2023 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
2023
Massachusetts Institute of Technology
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/legalcode.
Issue Section:
General Conference