Topological Dynamics in Metamodel Discovery with Artificial Intelligence

Introduces new and advanced methods of model discovery for time-series data using artificial intelligence.Implements topological approaches to distill "machine-intuitive" models from complex dynamics data.Introduces a new paradigm for a parsimonious model of a dynamical system without resorting to differential equations.Heralds a new era in data-driven science and engineering based on the operational concept of "computational intuition".