Agents can decide when to seek more context
An article published on August 22, 2026 models interactive agents’ choice between acting on assumptions and seeking context, accounting for the costs of those actions.
Source: Inferência ativa para aquisição de contexto por agentes (arxiv.org). Text prepared with AI from this source.
What happened and what to do
The article, published on August 22, 2026, models how interactive agents choose between acting on assumptions or spending resources on clarification questions, retrieval, and other ways to obtain context. It treats these choices as active inference about a latent task state and includes the costs in the agent’s objective.
A company can apply this idea to decide when its agents should pause execution, ask for clarification, or consult internal sources before acting. This can be implemented with decision rules, logging of choices, cost and quality metrics, and tests on representative tasks to tune confidence thresholds.
How the consultancy can help
Wendelmaques can assess risks and opportunities in a company’s agent workflows, propose criteria for seeking context, and implement the solution, including instrumentation, testing, and operation.
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