Agents4h ago
Active Inference Optimizes Agent Context Acquisition
A new framework uses active inference to balance clarifying questions against default assumptions in AI agents. The system minimizes expected free energy to decide whether to call tools or ask users for missing constraints. This approach reduces token waste during task execution. Practitioners can now quantify the exact cost of epistemic uncertainty in Optimal Question Asking.