Teaching AI to Understand and Model Physical Systems - Ali Soltani

Year
2025
Tags
evolutionary algorithms
artificial intelligence
interpretable AI
graph neural networks
simulation modeling
equation discovery
bio-inspired computing
adaptive systems
traffic optimization
machine learning
Aarhus
Summary

Inspired by biological reproduction, this research uses evolutionary algorithms to evolve mathematical equations that describe physical systems. Unlike black-box AI, these models are transparent and adaptable. By combining evolution with graph neural networks, the approach improves simulations for applications such as traffic control, robotics, and engineering design.