![]() For example, suppose causation can occur in a machine learning model of 100 thousand records instead of 500 million. It's a controversial idea that elements of causation appear, not at the micro level, but at a higher level that is more understandable (and computable). Having created a new way to measure causation, they claim that, in many cases, the causes of things are found at the more coarse-grained levels of a system. Although we've made fantastic progress by breaking things down into smaller components, this “reductionist” approach has limits. Now, some researchers are suggesting we should zoom out and look at the bigger picture. Our current point of view for any kind of experiment is the principle of reductionism. Identifying what causes what in complex systems is the aim of much of science.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |