# Learning Life Experience

1. **Definition:**

Experience-based learning is a continuous cycle in which Strant AI:

\+ Collects empirical data from completed tasks.

\+ Compares actual results with expectations or standards to identify discrepancies and opportunities for improvement.

\+ Retrains the system using this new data, ensuring that the AI continually learns and becomes more accurate.

2. **Key Roles:**

Experience-based learning offers significant advantages:

* **Continuous Improvement:**

Each time the system performs a task, it has the opportunity to learn and enhance its performance.

* **Adaptation to Change:**

Strant AI can rapidly adapt to new or unforeseen conditions, such as financial market volatility or shifting trends in customer behavior.

* **Reduced Reliance on Static Data:**

Instead of relying solely on historical data (which may be outdated), Strant AI learns directly from the most recent events.