Thread:
JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/14551
JA:http://permalink.gmane.org/gmane.science.philosophy.peirce/14559
ET:http://permalink.gmane.org/gmane.science.philosophy.peirce/14561
Edwina, List,
I decided the other title was too long, and I like the acronym STOI much better.
It's not so much that we touch on learning and reasoning just now as the fact
that we've been immersed in them all along.
In every realm of inquiry we encounter complementaries, dualities, or trade-offs
between two aspects of the phenomena we are trying to understand. Viewed in the
setting of a triadic sign relation that encompasses all the relevant objects and
all the signs and ideas we have of them, we can often recognize these aspects as
corresponding to the denotative and connotative planes of that sign relation.
In computer science, especially in AI, one runs smack dab into the problem of
integrating data-driven and concept-driven aspects of intelligent functioning.
You find yourself recapitulating in the ontogeny of your software development
something like the phylogeny of classical oppositions between empiricists and
rationalists.
Well, it's late ...
Jon
Edwina Taborsky wrote:
> If we are to touch on learning and reasoning, it might be fruitful to
> expand the research domain of this blog to include the research areas of
> such people as Leonid Perlovsky and Ricardo Gudwin. Both of them are
> involved in cognition, semiotics, learning, evolution. That is, most of
> this list (Peirce list) and its discussions seems devoted to the purely
> theoretical area of the philosophical domains of Peirce. These two (and
> others) are focused on the applied, pragmatic domains of cognition,
> semiotics, artificial intelligence, bioengineering, and etc. And yes,
> both of them have explored Peirce.
>
> http://www.leonid-perlovsky.com/
>
> http://faculty.dca.fee.unicamp.br/gudwin/node/2
>
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