Tag : Vladimir Arnold

academia letters

Paper from 2021: Are Agent-based Models Universal Approximators?

The idea of a universal approximator has been around since the early 1900s. The mathematical proofs required to prove that you can transform any function into a set of inner and outer functions (approximation) was shown by Andrey Kolmogorov and Vladimir Arnold (his student) in the early 60s. It was called the Kolmogorov-Arnold Representation Theory and was later used to develop what we now know as “Deep Learning”. In Academia Letters, I published a letter that draws a a comparison […]