This is one of the main concepts / problems of AI, is it not? Removing the ambiguity from our language in order to understand it.  So you could remove it on the KR side, but you would still need to convert the regular language into the KR language, unless you would propose to have all inputs and outputs in the new KR language alone.

So that conversion process would have to handle the context and ambiguity of the system still.  And this is something we havnt accomplished to a high enough degree yet, but we have given it some attention, and realize that that alone is not enough.

What kind of mapping would the KR need extra to handle the relationships between these newly seperated terms.

James


The 'language' used in KR need not be context-dependent or ambiguous.  If the blackboard is recognized (by the sensory perception module) as 'black', that would be the best description in KR, because that's the limit of sensory perception.  Of course, normally the AGI will have more details of the board such as better color discernment, and that the board has a frame, etc.
 
I still think the KR language does not need context-dependency or ambiguity.  Except ambiguities with respect to the external world, which always exist.
 
YKY

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Thank You
James Ratcliff
http://falazar.com


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