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RE: nature -> "human brain" -> "language terms" ==>> knowledge ?



Title: Re: nature -> "human brain" -> "language terms" ==>> knowledge ?

The latest exchance included on the weakness of objective- subjective categories.  I could add a few ideas from the perspective that human judgement is model based and the quality of models differ based on what has gone into establishing them and the nature of the subjective of the model.

 

RC> I think the concepts of "objective" and "subjective"
 > are essential concepts in AI applications....

JS>Those two words are related to some very interesting
issues, but they are so vague that they're not useful
terms to adopt. Summary:  Cognitive models are extremely important,
and Peirce's semiotic terminology is an excellent set
of concepts for analyzing and representing them.  But
the words "objective" and "subjective" are too weak.

 

Historically there was the argument that an objective truth involves some type of "agreement" or

"correspondence" of our mental models with its object.  Thus my observation about a penny being round reflects my mental model and your mental model and its tuned by experience with a penny to correspond.  I could test out the model by rolling the penny for example.  Other parts of my mental model lead to the idea of subjective judgments.  Both are mediated by models but the objective ones are more like validated theory and the subjective ones more like hypotheses.  Or one could speak of some  not as tuned  as others.  Certainly it is not as easy to know whether or not our "model" of peoples intentions "corresponds" or "agrees" with  the person’s (assumed) real intentions – these are more like pragmatic hunches and could be very affected by biases. We may call these types subjective, but there may be degrees and so the simple dichotomy of objective to subjective is not the best.

 

Gary Berg-Cross

-----Original Message-----
From: John F. Sowa [mailto:sowa@bestweb.net]
Sent: Wed 3/23/2005 7:50 PM
To: Rich Cooper
Cc: Jay Halcomb; Alexander Povolotsky; abdoul@CYTANET.COM.CY; Gary Berg-Cross; standard-upper-ontology@LISTSERV.IEEE.ORG
Subject: Re: nature -> "human brain" -> "language terms" ==>> knowledge ?

Rich,

I completely agree.  That's the point I was trying
to make in my notes to Alex:

RC> As you know (since you described Peirce's concept
 > of thirdness), agents have intentions, and use language
 > to achieve their objectives.  Those areas are of far
 > more interest to AI than the physics of objects.  How
 > does agent A1 perceive another agent's (A2) actions?
 > That depends on how A1 thinks A2's belief system is
 > laid out, A2's current goals and so on.

Those are the real issues:  how do you model Thirdness
(or to use other terms, intentions, goals, purposes)?
That gets into really interesting problems.

RC> I think the concepts of "objective" and "subjective"
 > are essential concepts in AI applications....

Those two words are related to some very interesting
issues, but they are so vague that they're not useful
terms to adopt.

Summary:  Cognitive models are extremely important,
and Peirce's semiotic terminology is an excellent set
of concepts for analyzing and representing them.  But
the words "objective" and "subjective" are too weak.

John