Re: Representationalism rescues reinforcement learning

"J.A. Legris" <jalegris@xxxxxxxxxxxx> wrote in message news:1179971232.741884.221330@xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
So here's the thing: in the real world, an organism that learns by
trial, error and (yawn) reinforcement, is likely to get eaten before
it is lucky enough to stumble on the appropriate response. But, it if
has a virtual environment in its head where it can test various
responses before committing to any, it has a leg up on the challenges
of existence, which appears to be just what we mammals have managed to
evolve - internal representations of the real world with little
homunculi going at it, and just possibly, another level or two of
homunculi contained therein (not so much for the good of the theory,
but just to irritate antirepresentationalists a little bit more). And
get this - it's TESTABLE!


you can't learn by "trial, error and (yawn) reinforcement" without building some internal model of the world

+

you can't ceate internal model of the world if you don't learn by "trial, error and (yawn) reinforcement"

=

trial, error and (yawn) reinforcement creates internal model of the world that can be created only by trial, error and (yawn) reinforcement

.

Relevant Pages

  • Re: Representationalism rescues reinforcement learning
    ... trial, error and (yawn) reinforcement, is likely to get eaten before ... it is lucky enough to stumble on the appropriate response. ... you can't ceate internal model of the world if you don't learn by "trial, ...
    (comp.ai.philosophy)
  • Re: Representationalism rescues reinforcement learning
    ... it is lucky enough to stumble on the appropriate response. ... error and (yawn) reinforcement" without building some ... you can't ceate internal model of the world if you don't learn by "trial, ...
    (comp.ai.philosophy)
  • Re: Representationalism rescues reinforcement learning
    ... it is lucky enough to stumble on the appropriate response. ... error and (yawn) reinforcement" without building some ... you can't ceate internal model of the world if you don't learn by "trial, ...
    (comp.ai.philosophy)