Our goal is to model the way humans investigate and understand the physical laws of nature and create an AI agent that would be able to behave like a scientist, devising hypotheses and performing experiments. We are aiming at creating a system that would be able to discover regularities in data and present them in human-interpretable forms, such as a symbolic formula. For more details visit the documents folder.
This is a project held at the Laboratory of Methods for Big Data Analysis, Faculty of CS, HSE. The team working on this project includes
• Vladislav Belavin, Research Assistant, Postgraduate Student at the Laboratory of Methods for Big Data Analysis, Faculty of Computer Science, HSE), de-facto project supervisor
• Julia Semavina, 3rd-year graduate student at Faculty of CS, HSE
• Mikhail Zybin, 4th-year graduate student at Faculty of Mathematics, HSE
• Andrey Ustyuzhanin, PhD, Head of the Laboratory of Methods for Big Data Analysis, Associate Professor at the Faculty of CS, HSE
• Denis Derkach, PhD, Senior Research Fellow at the Laboratory of Methods for Big Data Analysis, Assistant Professor at the Faculty of CS, HSE
Code for AI Feynman was taken from https://github.com/jprothero/AI-Feynman.