Guys,
  Your both right!

Well, I think you need both really, but they do compliment and help eachother 
out, much information is given in text, and to ignore that means at some point 
in time you will be telling the bot that, over and over, to teach it, and 
likewise, there are something your just not gonna get nicely out of a book.
  One simple thing with my system is that a bot can research a Kitchen, and 
knows what items it expects to find there, like a fridge, and a sink, and a 
table and a chair, and what % confidence each of those has.  
  So a bot, given the knowledge that you stuck it in a kitchen, could reason 
about what shoudl or may be in the environment, and look aroudn and try to find 
a sink, or ask where the fridge is, or conversly, if stuck in an environment 
that has a fridge and a stove, coudl reason fairly simply that it was in a 
kitchen... this is a nice little boost to the bot, and gives it information 
outside what it was given from the environment.
  Also things like that it can sit in a chair, and things can be on top of a 
table. A list of possible actions and interactions can be generated and tested.

James Ratcliff

Benjamin Goertzel <[EMAIL PROTECTED]> wrote: >  A
> clearer way of stating how I perceive our approaches as differing would be
> to say that I believe that you are learning by discovery while I am
> accumulating already discovered knowledge and resolving conflicts.  I think
> that we are attacking two very different, complementary problems.

My hypothesis is that interpretation and conflict-resolution of
already-discovered knowledge that is explicitly articulated in text,
can be done really effectively only on the basis of a large body of
low-level common-sense that has NOT been explicitly articulated in
text (but can be gathered via embodied learning)

So, my guess is that your approach may well work to build some useful
practical domain-specific systems, but will hit a fairly low
intelligence ceiling...

But I will be pleased if I'm proved wrong ;-)

ben g

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James Ratcliff - http://falazar.com
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