On 8/5/2008 6:53 AM, YKY (Yan King Yin) wrote:
On 8/5/08, Mike Tintner <[EMAIL PROTECTED]
<mailto:[EMAIL PROTECTED]>> wrote:
>
> Jeez, there is NO concept that is not dependent on context. There is
NO concept that is not infinitely fuzzy and open-ended in itself,
period - which is the principal reason why language is and has to be
grounded (although that needs demonstration).
I see...
My current approach is to use fuzzy rules to model these concepts. In
some cases it seems to work but in other cases it seems problematic...
For example I can give a definition of the concept "chair":
chair(X) :-
X has leg #1,
X has leg #2,
X has leg #3,
X has leg #4,
X has a horizontal seat area,
X has a vertical back area,
leg #1 is connected to seat at position #1,
etc,
etc....
But what if a chair has one leg missing? Using fuzzy logic (fuzzy
AND), the missing leg will result in a fuzzy value close to 0, which
is not quite right.
Probabilistic logic is also inappropriate. I know *every* time that a
chair missing a leg is "somewhat" a chair -- there is no probability
involved here.
YKY
My tendency is to say that you're trying to make a single definition
cover too much. I think of a "chair" as being a collection of
semi-overlapping sets of predicates. You can have a three-legged chair,
a backless chair (stool), a legless chair (seen 'em at the beach), etc.
There is no subset of all chairs that defines a chair. Rather "chair" is
the collection of predicate sets for different variants of a chair. And
I would also say that part of "chair" is also a memory of all the actual
chairs you've encountered.
Which leaves the question of how you categorize a new object that
doesn't precisely match any prior "chair." If it's sufficiently close to
one of the priors, it's easy. If it has nothing in common with any
prior, it's easy. In between can be more subtle.
And, to return to the original topic, part of each "chair" predicate set
is the relevant context. (I agree that every meaning has context.)
-------------------------------------------
agi
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