SOURCE-LINKED INTELLIGENCE

Agents That Model Agents: Five Principles Toward a Theory of Mind for 6G Networks

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Future 6G networks will rely on Large Language Model (LLM) agents to manage the Radio Access Network (RAN). However, current architectures assume inter-agent messages convey objective facts. A message is instead a \emph{trace} of the sender's reasoning: it carries a subjective conclusion, so a syntactically valid report can propagate an AI hallucination and trigger a cascading outage invisible to protocol validation. Reading such a trace requires a Theory of Mind (ToM)---before acting, the receiver must model what the peer believes, and what a peer in that position should have believed. Modeli

Read original source ↗ Open in workspace

recordType

paper

region

Global