Ontology highlight
ABSTRACT:
SUBMITTER: Guimera R
PROVIDER: S-EPMC6994216 | biostudies-literature | 2020 Jan
REPOSITORIES: biostudies-literature
Guimerà Roger R Reichardt Ignasi I Aguilar-Mogas Antoni A Massucci Francesco A FA Miranda Manuel M Pallarès Jordi J Sales-Pardo Marta M
Science advances 20200131 5
Closed-form, interpretable mathematical models have been instrumental for advancing our understanding of the world; with the data revolution, we may now be in a position to uncover new such models for many systems from physics to the social sciences. However, to deal with increasing amounts of data, we need "machine scientists" that are able to extract these models automatically from data. Here, we introduce a Bayesian machine scientist, which establishes the plausibility of models using explici ...[more]