Self-Reflection

A technique where an AI agent evaluates its own actions and outcomes after completing a task.

The agent examines its decisions, identifies errors or inefficiencies, and adjusts its strategies for future tasks.

Self-reflection is important for improving long-term performance, as it enables AI agents to learn from their mistakes without external feedback, contributing to continuous self-improvement.