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Properties
Knowledge Representation
As described in the architectural details,
RALPH-MEA uses various types of knowlege, all of them appear to be
declarative. The different types of modules are used, and shared, by
the EAs. Knowledge is stored symbollically, altough these is also a
lot of probabilistic knowlege (i.e. it uses a lot of probabilities
about what might happen, and what might be a consequence of a
particular action, etc.) Altough it was not made very clear, it seems
that each type of knowledge is stored in its own format.Each format
optimized for storing that type of knowledge.
Learning
The architecture does not learn any new domain knowledge by itself. It
can, however, compile knowledge from one of the types into another.
Organization
The architecture is organized into four Execution Architectures, and
one metalevel which arbitrates between them. The MEAs run in parallel
and give their results to the metalevel who decides what action is
best to take. This is explaind in the architectural details section.
General Performance
The RALPH-MEA architecture is supposed to be fast, as fast as
possible. The metalevel arbitrates among the MEAs so that, if a quick
response is needed it will deliver one as soon as possible. This
assumes that the metalevel has enough knowledge to determine which
situations require prompt attention. The sensors are always working
and giving information to the EAs. These will either use this
information or discard it, depending on whether they need it or not.
It was not made clear how this is done.
Other