Learning from Experimentation
Learning from experimentation, also called discovery, involves
the use of domain knowlege, along with observations made about the
enviroment, to extend and refine an agent's domain knowledge.
The more systematic an agent manipulates its enviroment to
determine new information, the more its behavior seems to
follow traditional scientific experimental paradigms. However,
the agent's action need not be so planned to produce new
behavior.
Architectures having this capability include:
Go to A List of Common Capabilities.
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