Separating Diagnosis from Control: Auditable Policy Adaptation in Agent-Based Simulations with LLM-Based Diagnostics

📰 ArXiv cs.AI

A three-layer framework separates diagnosis from control in agent-based simulations, using LLM-based diagnostics for auditable policy adaptation

advanced Published 25 Mar 2026
Action Steps
  1. Separate diagnosis from control using a three-layer framework
  2. Utilize LLMs for diagnostics to enhance auditability
  3. Implement agent-based simulations with adaptable policy interventions
  4. Evaluate the framework's effectiveness in achieving both adaptability and auditability
Who Needs to Know This

Researchers and engineers working on agent-based simulations, particularly those focused on social interventions like mitigating elderly loneliness, can benefit from this framework as it provides a balance between adaptability and auditability

Key Insight

💡 Separating diagnosis from control allows for both adaptability and auditability in policy interventions

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💡 New framework separates diagnosis from control in agent-based simulations, enabling auditable policy adaptation with LLM-based diagnostics
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