A Minimal model for causal invariance: path merging via DP-like optimization
Abstract
A graph rewriting algorithm that simulates topological path merging. Experimental results demonstrate the spontaneous emergence of fundamental physical properties, including holographic entropy scaling and geometric coupling constants from discrete rules.
Fields of Study & Subjects
Bayesian Modeling and Causal Inference
Cellular Automata and Applications
Reinforcement Learning in Robotics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 19 January 2026