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Active Inference as Context Acquisition for AI Agents
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active inferencecontext acquisitionoptimal question askingAI agents
2608.19202
Builder Relevance
2h ago80%
Abstract
The paper discusses how interactive AI agents can efficiently acquire context through active inference, balancing between default assumptions and clarifying actions.
Reality Card
Core Claim
The framework for active inference in context acquisition is model-agnostic and can optimize question asking to minimize expected free energy under cost constraints.
Method / Result
The framework was benchmarked using frontier language models on tasks with 25 to 300 candidates.
Limitations
The paper does not specify the authors, which may affect reproducibility and validation of the results.
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