ALIFE 2019 MABE Tutorial

This tutorial will give an overview of MABE, an agent-based research software studying evolving systems and digital brains. MABE supports mixing different types of genomes (heritable and mutable data), brains (digital cognitive architectures), selection methods, and worlds (agent evaluators). This can speed up the time from hypothesis to results since only parts that need to be unique must be coded and combined with more standard already existing components. The modularity in MABE supports collaboration and reuse and also supports research into substrate independence - the ability to alter one aspect of an experiment while holding all others constant in order to isolate causes and effects.

When / Where

Tuesday, July 14, 15:00 - 16:30 (EST) / Virtual Lecture Hall B

Tutorial Outline

A general overview of MABE design and workflow An example showing MABE installation and use An introduction to substrate independence, how MABE supports it, and why you should care about it!

Links:

MABE is an open-source project available at: https://github.com/Hintzelab/MABE

installation and setup instructions can be found here: https://github.com/Hintzelab/MABE/wiki/Installation-and-getting-started-with-MABE