A great deal of effort in digital evolution research is invested in developing experimental tools. Because each experiment is different and because the emphasis is on generating results, the tools that are developed are usually not designed to be extendable or multipurpose. Here we present MABE, a modular and reconfigurable digital evolution research tool designed to minimize the time from hypotheses generation to hypotheses testing. MABE provides an accessible framework which seeks to increase collaborations and to facilitate reuse by implementing only features that are common to most experiments, while leaving experimentally dependent details up to the user. MABE was initially released in August 2016 and has since then been used to ask questions related to Evolution, Sexual Selection, Psychology, Cognition, Neuroscience, Cooperation, Spatial Navigation and Computer Science.

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© 2017 Massachusetts Institute of Technology Published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license
2017
MIT Press
This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.