Ability to Learn as an Issue in Cognitive Architectures
Learning is a capability that is
important, almost central, to the majority of
cognitive architectures considered in this
document. Yet, learning in these systems is by no means as robust
or diverse as human learning; thus, while learning is often a
capability of an architecture, the following questions remain
about the learning mechanism(s) involved:
- What things can (and cannot) be learned by this architecture? Can it
learn at all?
- Is there learning transfer?
- Are there multiple learning methods?
- If so, how do they interact with one another?
- If not, how are different types of learning achieved (or are they)?
- How does the architecture's learning mechanism impact:
Architectures that include a discussion of this issue:
Go to the List of Common Issues.
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