Glossary
Procedural memory
Procedural memory is an AI agent's memory of how to do something: the steps, rules and routines it learned to follow for a task. It sits apart from memory of facts and past events.
What procedural memory is
Procedural memory stores know-how. An agent uses it to recall the order of steps for a task, the rules that apply, and the way a job was done before.
It is the agent equivalent of knowing how to ride a bike, not just remembering that you once did.
Why it matters
- It lets an agent repeat good routines without being walked through them again.
- It is hard to get right, because a stored procedure can go stale when the steps or rules change.
- It needs care about which rules an agent may follow on its own.
How it works in Harny
- Harny's learned settings are the nearest thing. When recorded responses support it, Harny offers a change to an action kind's setting. You apply it or keep the current one, and you can restore the previous setting.
- The source is recorded responses, not a trained model.
Is procedural memory the same as a learned setting in Harny?
No. A learned setting is an offered change to an action kind's setting, based on recorded responses. You apply it or keep the current one.
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