Self
term_id: self
Category: basic_concepts
Definition
While current AI lacks consciousness, the term ‘self’ often describes meta-cognitive capabilities where a model analyzes its own outputs, confidence levels, or internal states. It appears in contexts like self-supervised learning, where models generate their own labels, or in agentic frameworks that maintain a persistent state or memory to simulate continuity of identity across interactions.
Summary
In AI, ‘self’ refers to the concept of an agent’s identity or its capacity for self-referential processing and introspection.
Key Concepts
- Self-Supervision
- Meta-Cognition
- Agent Identity
- State Management
Use Cases
- Self-correction in large language models
- Persistent memory in conversational agents
- Confidence calibration in predictive models