Further explanation needed.... more below inline.

--- On Mon, 8/4/08, Harry Chesley <[EMAIL PROTECTED]> wrote:
From: Harry Chesley <[EMAIL PROTECTED]>
Subject: Re: [agi] Groundless reasoning
To: [email protected]
Date: Monday, August 4, 2008, 9:16 PM

Vladimir Nesov wrote:
>  It's too fuzzy an argument.

You're right, of course. I'm not being precise, and though I'll try
to 
improve on that here, I probably still won't be. But here's my attempt:

There are essentially three types of grounding: embodiment, hierarchy 
base nodes, and pattern/data sources.

Embodiment: I don't think AIs need to have a connection to a real or 
simulated environment. Yes, we get a lot of our information that way, 
and yes, human meaning/understanding probably evolved out of that 
connection initially. But no, AI doesn't require it to do useful thinking.
> Every AGI, but the truly most simple AI must run in a simulated environment 
> of some sort.
They need to receive information and react to it, and that is done is some kind 
of 
environment.  The larger the environment, the more options for an AGI to 
interact.
A question answer AI could in theory answer questions with a limited input 
output 
environment, but is that truly considered an AGI?
An AGI I would think would need to internally model test environments and 
scenarios
to try and create potential solutions in addition to its own acting environment.
A small AI would need to interact with the world to be truly useful, 
even if just to be able to go outside its computer and order food for a 
household 
to be delivered.

Hierarchy base nodes: I don't think a hierarchy of concepts or a 
semantic network need to have a set of base nodes that connect to 
something outside the system ("primitives"). Meaning arises out of
the network of connections, and doesn't need some basic unit of 
meaningful nodes.
> How do you mean this?
There must be structure to its internal information nodes, some 
level of hierarchy for storage and usage correct?
Many and most nodes will contain base nodes such as color or weight or position.
How can a network be created without these?  The AGI may not have direct 
experential 
sampling of these concepts thru an input device, but the concepts must still be 
there.

Data sources: But there is one sense in which a system must be grounded 
to provide useful results for the real world. The connections between 
concepts, and the statistics regarding those connections need to come 
from the real world. A dictionary is circular, but the connections 
between the nodes are set based on corresponding connections in the 
external world. Or to put that another way, you can't reason about 
something you have no data about.
> This seems to contradict the second notion.

It was the first two senses that I meant when I said an AI doesn't need 
to be grounded.

P.S. You can think of embodiment as being an example of hierarchy base 
nodes; or you can think of it as a data source. In the latter case, it 
can be useful (as other have pointed out on the list), but isn't necessary.
> As soon as you have an AGI that is planning for something, say a meeting, 
and is considering the possible availability of participants of 
the meeting, and choosing a meeting to to hold it in, it begins interacting 
in an environment.
You may be arguing against an AGI requiring to be embodied in a robot, 
or requiring a full simulated art. reality, but when you consider that as well, 
it opens up the amount of options available to an AGI.
Not only can it reason and give back information, but it can directly act,
in a much more human like way.  This will allow it to learn and 
explore differently than just a simple text AGI.

James


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