Epistemic-Probabilistic Model for Guarded Multi-Agent LLM Coordination

arXiv:2609.29366 · cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Abstraction — 4× in this paper · explained in 1 episode
• Admissibility — 4× in this paper · explained in 2 episodes
• Core — 4× in this paper · explained in 2 episodes
• Adversarial Representation Engineering — 3× in this paper
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Representation Engineering — 3× in this paper · explained in 2 episodes
• Conditional Belief Engine — 2× in this paper
• Epistemic Logic Core — 2× in this paper
• Formal Methods — 2× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Linear Temporal Logic (LTL) — 2× in this paper · explained in 4 episodes
• RAG — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Axioms — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Provenance — 1× in this paper · explained in 4 episodes

Sources

• Large Language Models Miss the Multi-Agent Mark
• A DbC Inspired Neurosymbolic Layer for Trustworthy Agent Design
• Strengthening Gossip Protocols using Protocol-Dependent Knowledge
• Model Checking for Multi-Agent Systems Modeled By Epistemic Process Calculus
• The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

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