Adaptation
Adaptation is the principle by which BX-System changes its behavior based on accumulated outcomes instead of repeating a fixed solution. Every verified result updates the strategy weights; a strategy that failed is deprioritized.
How does knowledge accumulate?
Each verified outcome produces a reward value. The reward updates the strategy weights through the cognitive memory engine.
Is reprogramming required?
No. The weights change; the code does not. A strategy that worked yesterday may be deprioritized today based on new evidence.
What is the foundation of adaptation?
Verified outcomes. The kernel learns from the results and adjusts its strategy weights accordingly.
How does the system handle a failed strategy?
A failed strategy is deprioritized. The strategy weights are updated based on the reward value.
What is the role of the cognitive memory engine?
It applies the update to the strategy weights. The engine is responsible for the adaptation process.
Related
- Agent Kernel Architecture: The Complete Guide
A comprehensive guide to the components of an agent kernel: the cycle, the AST engine, the cognitive memory engine, and the isolated context.
- Agent Kernel vs Agent Framework
A framework supplies components a developer assembles. A kernel runs the cycle itself, verifies outcomes, and updates its own weights.