Before Agents Decide: Epistemic Action in LLM-Based Systems

cs.AI, cs.MA

Submitted: 2026-09-30

Updated: 2026-09-30

Comments: Accepted at the Foundations of Agentic Systems Theory (FAST) Workshop at NeurIPS 2026

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• Agents' Last Exam
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems