Holonic digital-twin framework proposes distributed cognition for physical AI over networks

Researchers propose Holonic Digital Twin Networks in which twins of robots, drones and vehicles exchange compact beliefs and causal abstractions rather than centralising raw data. The framework combines causal Markov blankets, compositional reasoning and active inference, with 6G-style networks as the coordination substrate.

Impact: it offers a decentralised architecture for bandwidth-constrained multi-agent systems. It is a theoretical framework, not evidence of a deployed, secure or standards-compliant fleet.