For Readers Familiar with AI Concepts
In general, the cognitive architectures introduced in this
document(*)
are described in terms of typical artificial intelligence
concepts; e.g.,
representations,
methods for control,
and capabilities such as
planning,
learning, and
robotic action.
For a reader already familiar with such topics, one way
to quickly learn about cognitive architectures is to
enter the document from the descriptions of the
common
properties or
capabilities which correspond to
these familiar topics. These descriptions include not only
a definition of the term as it is used in the document
(which will probably be of only marginal interest to the reader)
but also entry points into architectures demonstrating that
particular feature. For instance, the property
frame-like representations
includes a definition of frames and points out that three
architectures -- Theo, MAX and Homer -- use frames as a basic
mechanism for representing knowledge. By reading these
three nodes(*)
from the original frame node, the differences and
similarities in the use of frames in these different
architectures may be examined. Additionally, other
facets of an architecture may interest the reader, bringing
she/he into an architecture from a particular point of
interest. For example, in the discussion of
frames in Theo, there
is a contextual link(*) to
Theo's
impasse-drive control, demonstrating how the use
of frames leads to this control paradigm.
*: The terms node, link, document,
contextual, and non-contextual are
defined in a separate node.
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