First paper since joining @GoogleDeepmind! We present 🌍ATLAS (Active Theory Learning for Automated Science), a pipeline that generates interpretable mechanistic models from data and optimizes experiments to test them.

Thread below 2/14 Uncovering the algorithms behind behaviour is a central goal of cognitive science. This usually requires hard-won datasets and careful experiment design. Active learning provides a framework for how to collect maximally informative data efficiently.