What is an autonomous artificial intelligence agent task horizon?
Definition
An autonomous artificial intelligence agent task horizon can be measured in elapsed time, number of dependent steps, task complexity, or the amount of state an agent must preserve. A longer horizon means the system can pursue goals through more observations and actions before supervision is required.
Horizon claims must include reliability and task difficulty. Agents may run for hours while making little progress, and small error rates compound over many steps, so evaluation should verify accepted outcomes, unsafe actions, recovery, and the amount of human correction.
Acronyms and aliases
autonomous AI agent task horizon acronymagent time horizon variant
Related terms
Frequently asked questions
How is an artificial intelligence agent task horizon measured?
Use representative tasks and record duration, dependent steps, completion, intervention, errors, recovery, and accepted outcome quality.
Why do small error rates matter for long autonomous tasks?
Repeated decisions compound failure probability, and an early mistake can distort state and cause many later actions to fail.
