Do What You Know: Coupling Knowledge with Action in Discrete-Event Systems

cs.AI, cs.SY, eess.SY

Submitted: 2021-07-25

Updated: 2022-05-30

DOI: 10.1007/s10626-023-00381-z

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