Single Learning Method
A system is said to learn if it is capable of acquiring new knowledge
from its
environment.
Learning may also enable the ability to perform
new tasks without having to be redesigned or reprogrammed, especially
when accompanied by
generalization. Learning is most often
accomplished in a system that supports
symbolic abstraction, though
such a property is not exclusive (reinforcement strategies, for
example, do not necessarily require symbolic representation). This
type of learning is separated from the
acquisition of knowledge
through direct programming by the designer.
Architectures having this capability include:
Go to A List of Common Capabilities.
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