Agents3h ago
Active Inference Optimizes Agent Context Acquisition
A new framework uses active inference to balance clarifying questions against default assumptions. By minimizing expected free energy, Optimal Question Asking reduces token waste during latent task state updates. The system selects between context actions and task execution based on expected information gain. This provides a mathematical basis for reducing redundant agent-user interactions.