A few days ago there was some discussion on this list about the potential usefulness of narrow AI to AGI. Nick Cassimatis, who is speaking at AGI 2008, has something he calls Polyscheme which is described partially at the following AGIRI link: http://www.agiri.org/workshop/Cassimatis.ppt It appears to use what are arguably narrow AI modules in a coordinated manner to achieve AGI. Is this a correct interpretation? Does it work? And, if so, how? I can imagine how multiple narrow AI’s could be used to create a more general AGI if there were some AGI glue to represent and learn the relationships between the different AGI modalities. Cassimatis mentions tying these different modalities together using relations involving “times, space, events, identity, causality and belief.” (But I don’t remember much description of how it does it.) Arguably these are enough dimensions to create generalized representations, provided there is some generalized means for representing all the important states and representations in each of the Narrow AI modalities and the relationships between them in each of these dimensions and compositions and generalizations formed from such relationships. Is that what Cassimatis is talking about? Ed Porter
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