The primary contemporary AGI problem is complexity. I am glad that you have
finally started to recognize that. Patchworks does not solve that problem.
Visual Input does not solve that problem. Robotics does not solve that
problem. I encourage you to keep thinking about this a little more carefully
than you have up until now.Jim Bromer
From: [email protected]
To: [email protected]
Subject: Re: [agi] What I Was Trying to Say.
Date: Thu, 2 May 2013 23:48:58 +0100
Jim: I consider the
ability to intelligently transform a pure declarative statement into an action
to be a necessary goal-seeking ability for an AGI program. The program has
to wisely or correctly learn that a particular part of a statement can be
correlated with an action.
Just so.
And how are you going to correlate the concepts
of language with the real world extremely complex courses of action that they
denote – e.g.
PICK UP THE BOX.
EAT THE PIZZA.
COME OVER HERE.
PUT THE CHAIR OVER THERE.
LET’S HAVE A CONVERSATION.
GO TO THE KITCHEN.
These concepts have to be instantiated in complex
courses of action in an infinity of possible versions of the relevant
situations. The objects referred to - boxes, chairs etc - could be in very
diversely configured fields. The courses of action referred to can be
extremely elaborate multi-step courses of action which are merely
*encapsulated*
but in no way *itemised* by the concepts, and have to be creatively patched
together.
Even the most basic language – the most basic vocabulary
- is extremely complex in reference and instantiation.
How are you going to correlate even the simplest language
concepts with the complex embodied, robotic actions that they all require?..
and
all without a body?
LOOK .. COME... GO... TAKE... PUT... LIFT... GIVE
ME.... ?
Understanding language – correlating it with action – is
vastly different from NLP.
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