MOM SSC is after to get out a basic MOM peer, that can determine hidden content from a given MOM graph and recognize the presence of items by varying and not predictable patterns of features of these items being given, e.g. signalled by sensors.
All of that on a strictly reviewable way, maybe even a laymen compatible one. It's avoiding every kind of black boxes such as self-organized neuronal networks especially when featuring loops.
Updates: 20070606.10-02h CEST: changed the last sentence to make more clear what I meant.
Content Representation With A Twist
Tuesday, June 05, 2007
What is that, MOM SSC is after?
Labels:
FAVA,
goal of MOM SSC,
images,
MOM,
MOM peer,
peer to peer network,
Simple Set Core
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