Definition
The process by which an AI agent builds and maintains a persistent representation of an individual user’s preferences, behaviours, and history across multiple interaction sessions. This model informs the agent’s future actions and responses to better align with the user’s needs.
Why it matters (in Poovi’s context)
Enables agents to offer more personalised and efficient experiences by remembering user preferences and past decisions, reducing the need for repeated instructions.
Key properties or components
- Task preferences
- Decision history
- Common task patterns
- Feedback signals
Contradictions or debates
None.