As other people have pointed out in previous discussions, "symbols" in
the broad sense also include mental images, actions, etc. There is no
fundamental difference between a neuron group corresponding to a word,
that another one corresponding to an image, as far as this discussion
is concerned.

"Experience", in this context, is the I/O history of the system as a
whole. Whether the system is conscious about all details of its
experience doesn't matter --- that is a different topic.

Pei

On Feb 16, 2008 2:54 PM, Mike Tintner <[EMAIL PROTECTED]> wrote:
>
> Pei,
>
> First I carefully read your pdf which only talks re symbols:
> "The meaning of a symbol is in its
> relations with other symbols; the
> truth-value of a statement indicates
> how close it is to the evidence"
>
> Below you talk about more - images/motor sequences etc - well how do they
> integrate with your pdf diagrams re concept processing/ semantics? That's
> rather important to set out isn't it, if you're diagramming?
>
> And there seems to be a big hole in the centre of the below - and this is, I
> think,
> an important question :  who or what is the part of the "software agent"
> that does the "experience"-ing? Do you have a self - as we do - with a
> unified sense of (and indeed location in) body and brain - that experiences
> all its knowledge via emotions/ sensations? Whatever, you must define the
> experiencing entity, and how it experiences, and you don't AFAICT,
>
> Let me try and make this exaggeratedly simple to focus on:
> how is NARS or any current attempt at an AGI different, in the final
> analysis, from an electronic row of dominoes, that a human programmer sets
> off ? I am not aware - which of course may be my ignorance - of any current
> system that is any different from that, however massively complicated the
> row of dominoes - or that could be said to "experience" anything..
>
> Pei:
>
> --- page 23 ---
>
> ... we do not mean that a word in a natural language gets its
> meaning only by its relation with other words in the language, because human
> experience is not limited to a language channel, but closely related to
> sensation, perception, and action (Barsalou, 1999; Harnad, 1990). However,
> the general principle is still applicable here, that is, a word gets its
> meaning
> by its experienced relations with the system's other experiential
> components,
> which may be words, perceptive images, motor sequences, and so on. In a
> system
> like this, the meaning of a word is much more complex than in a system
> whose experience is limited to a language channel, but it does not rule out
> the
> latter case as a possible way for words (terms, symbols) to be meaningful.
> For
> example, a software agent can get all of its experience in this manner, and
> we
> cannot deny that it is genuine experience.
>
> --- page 24 ---
>
> The definition of meaning in NARS is similar to conceptual role semantics
> and
> semantic network (Harman, 1982; Kitchener, 1994; Quillian, 1968), where the
> meaning of a concept (or word) is defined by the role it plays in a
> conceptual
> system (or a natural language). The difference between experience-grounded
> semantics and those theories are:
> • In NARS, the relations among terms are not definitional or linguistic, but
> experienced relations that happen in the interaction between a system and
> its environment, therefore they are dynamic and subjective in nature.
> • In NARS, the relations between a term and others are concretely specified
> by its extension and intension, consisting of inheritance relations, whose
> meaning and properties are formally specified.
> • In NARS, whenever a term is used, only part of its meaning is involved.
> In other words, the "current meaning" of a term is not exactly its "general
> meaning" in the long run.
>
> Pei
>
> On Feb 16, 2008 12:32 PM, Matt Mahoney <[EMAIL PROTECTED]> wrote:
> >
> > --- Mike Tintner <[EMAIL PROTECTED]> wrote:
> >
> > > PeI:> To test the power of "visual reasoning", here is a rough visual
> > > > explanation on two very different ways for "symbols" to get their
> > > > meaning:
> > > >
> > > >  http://nars.wang.googlepages.com/wang.semantics-figure.pdf
> > > >
> > >
> > > Wow, I have to stop talking but this is really stimulating. Your
> > > paper/illustrations are v. useful as far as they go, but they are almost
> > > literally the tip of the iceberg. Your Experience-Grounded Semantics
> > > represents a flower/pot as a tree or net of attached symbols
> > >
> > > "plant - containing - blossom - round" etc
> > >
> > > Now can we please have the VAST attached clusters/ trees of images of
> > > flowers and pots that your brain has, and uses, to understand and
> > > process
> > > flowers/plants
> >
> > That's called a semantic network.  Words are associated with other words
> > that
> > appear near it in a large corpus of text, for example:
> > http://labs.google.com/sets?hl=en&q1=flower&q2=plant&q3=pot&q4=containing&q5=blossom&btn=Large+Set
> >
> > I agree that non symbolic (e.g. visual) processing is important for
> > systems
> > with non-symbolic I/O.
> >
> >
> > -- Matt Mahoney, [EMAIL PROTECTED]
> >
> >
> > -------------------------------------------
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