On the other hand, in PLN's indefinite probabilities there is a parameter k
which
plays a similar mathematical role,  yet **is** explicitly interpreted as
being about
a "number of hypothetical future observations" ...

Clearly the interplay btw algebra and interpretation is one of the things
that makes
this area of research (uncertain logic) "interesting" ...

ben g

On Sun, Oct 12, 2008 at 2:07 PM, Pei Wang <[EMAIL PROTECTED]> wrote:

> Abram: The parameter 'k' does not really depend on the future, because
> it makes no assumption about what will happen in that period of time.
> It is just a "ruler" or "weight" (used with scale) to measure the
> amount of evidence, as a "reference amount".
>
> For other people: The definition of confidence c = w/(w+k) states that
> confidence is the proportion of current evidence among future
> evidence, after the coming of evidence of amount k.
>
> Pei
>
> On Sun, Oct 12, 2008 at 1:48 PM, Abram Demski <[EMAIL PROTECTED]>
> wrote:
> > Pei,
> >
> > In this context, how do you justify the use of 'k'? It seems like, by
> > introducing 'k', you add a reliance on the truth of the future "after
> > k observations" into the semantics. Since the induction/abduction
> > formula is dependent on 'k', the truth values that result no longer
> > only summarize experience; they are calculated with prediction in
> > mind.
> >
> > --Abram
> >
> > On Sun, Oct 12, 2008 at 8:29 AM, Pei Wang <[EMAIL PROTECTED]>
> wrote:
> >> A brief and non-technical description of the two types of semantics
> >> mentioned in the previous discussions:
> >>
> >> (1) Model-Theoretic Semantics (MTS)
> >>
> >> (1.1) There is a world existing independently outside the intelligent
> >> system (human or machine).
> >>
> >> (1.2) In principle, there is an objective description of the world, in
> >> terms of objects, their properties, and relations among them.
> >>
> >> (1.3) Within the intelligent system, its knowledge is an approximation
> >> of the objective description of the world.
> >>
> >> (1.4) The meaning of a symbol within the system is the object it
> >> refers to in the world.
> >>
> >> (1.5) The truth-value of a statement within the system measures how
> >> close it approximates the fact in the world.
> >>
> >> (2) Experience-Grounded Semantics (EGS)
> >>
> >> (2.1) There is a world existing independently outside the intelligent
> >> system (human or machine). [same as (1.1), but the agreement stops
> >> here]
> >>
> >> (2.2) Even in principle, there is no objective description of the
> >> world. What the system has is its experience, the history of its
> >> interaction of the world.
> >>
> >> (2.3) Within the intelligent system, its knowledge is a summary of its
> >> experience.
> >>
> >> (2.4) The meaning of a symbol within the system is determined by its
> >> role in the experience.
> >>
> >> (2.5) The truth-value of a statement within the system measures how
> >> close it summarizes the relevant part of the experience.
> >>
> >> To further simplify the description, in the context of learning and
> >> reasoning: MTS takes "objective truth" of statements and "real
> >> meaning" of terms as aim of approximation, while EGS refuses them, but
> >> takes experience (input data) as the only thing to depend on.
> >>
> >> As usual, each theory has its strength and limitation. The issue is
> >> which one is more proper for AGI. MTS has been dominating in math,
> >> logic, and computer science, and therefore is accepted by the majority
> >> people. Even so, it has been attacked by other people (not only the
> >> EGS believers) for many reasons.
> >>
> >> A while ago I made a figure to illustrate this difference, which is at
> >> http://nars.wang.googlepages.com/wang.semantics-figure.pdf . A
> >> manifesto of EGS is at
> >> http://nars.wang.googlepages.com/wang.semantics.pdf
> >>
> >> Since the debate on the nature of "truth" and "meaning" has existed
> >> for thousands of years, I don't think we can settle down it here by
> >> some email exchanges. I just want to let the interested people know
> >> the theoretical background of the related discussions.
> >>
> >> Pei
> >>
> >>
> >> On Sat, Oct 11, 2008 at 8:34 PM, Ben Goertzel <[EMAIL PROTECTED]> wrote:
> >>>
> >>>
> >>>
> >>> Hi,
> >>>
> >>>>
> >>>> > What this highlights for me is the idea that NARS truth values
> attempt
> >>>> > to reflect the evidence so far, while probabilities attempt to
> reflect
> >>>> > the world
> >>>
> >>> I agree that probabilities attempt to reflect the world
> >>>
> >>>>
> >>>> .
> >>>>
> >>>> Well said. This is exactly the difference between an
> >>>> experience-grounded semantics and a model-theoretic semantics.
> >>>
> >>> I don't agree with this distinction ... unless you are construing
> "model
> >>> theoretic semantics" in a very restrictive way, which then does not
> apply to
> >>> PLN.
> >>>
> >>> If by model-theoretic semantics you mean something like what Wikipedia
> says
> >>> at http://en.wikipedia.org/wiki/Formal_semantics,
> >>>
> >>> ***
> >>> Model-theoretic semantics is the archetype of Alfred Tarski's semantic
> >>> theory of truth, based on his T-schema, and is one of the founding
> concepts
> >>> of model theory. This is the most widespread approach, and is based on
> the
> >>> idea that the meaning of the various parts of the propositions are
> given by
> >>> the possible ways we can give a recursively specified group of
> >>> interpretation functions from them to some predefined mathematical
> domains:
> >>> an interpretation of first-order predicate logic is given by a mapping
> from
> >>> terms to a universe of individuals, and a mapping from propositions to
> the
> >>> truth values "true" and "false".
> >>> ***
> >>>
> >>> then yes, PLN's semantics is based on a mapping from terms to a
> universe of
> >>> individuals, and a mapping from propositions to truth values.  On the
> other
> >>> hand, these "individuals" may be for instance **elementary sensations
> or
> >>> actions**, rather than higher-level individuals like, say, a specific
> cat,
> >>> or the concept "cat".  So there is nothing non-experience-based about
> >>> mapping terms into a "individuals" that are the system's direct
> experience
> >>> ... and then building up more abstract terms by grouping these
> >>> directly-experience-based terms.
> >>>
> >>> IMO, the dichotomy between experience-based and model-based semantics
> is a
> >>> misleading one.  Model-based semantics has often been used in a
> >>> non-experience-based way, but that is not because it fundamentally
> **has**
> >>> to be used in that way.
> >>>
> >>> To say that PLN tries to model the world, is then just to say that it
> tries
> >>> to make probabilistic predictions about sensations and actions that
> have not
> >>> yet been experienced ... which is certainly the case.
> >>>
> >>>>
> >>>> Once
> >>>> again, the difference in truth-value functions is reduced to the
> >>>> difference in semantics, what is, what the "truth-value" attempts to
> >>>> measure.
> >>>
> >>> Agreed...
> >>>
> >>> Ben G
> >>>
> >>> ________________________________
> >>> agi | Archives | Modify Your Subscription
> >>
> >>
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-- 
Ben Goertzel, PhD
CEO, Novamente LLC and Biomind LLC
Director of Research, SIAI
[EMAIL PROTECTED]

"Nothing will ever be attempted if all possible objections must be first
overcome "  - Dr Samuel Johnson



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