[From Shannon Williams (960114.01:00)]
Bill Powers (960114.0915 MST)--
If the brain has the ability to predict how is perceptions will change
if it does and does not emit any behavior, the first project you have to
tackle is explaining how it does this, with a model.
I have ten diagrams now that explain this simply. You can use a trainable
neural network to explain how memory, imagination, language, math, ANYTHING
can work. I even see how the networks could have successively evolved as
species evolved. It's easy.
I have already posted two of the diagrams. You cannot comprehend the
remaining diagrams if you cannot comprehend those two.
Consider our favorite example, a driver steering a car along a road. How
does the driver's brain predict what the path of the car will be if the
driver doesn't emit any behavior?
You can only predict what is predictable. But if my car is veering to the
left, it is easy for me to recognize/predict that it will continue veering
to the left unless I or some obstical does something about it.
Remember that the path of the car is being
affected by bumps and tilts in the road and by variable crosswinds, to
mention just a few of the influences other than the driver's steering
Are you visualizing a prediction of one minute or 30 days into the future?
Either visualization would be invalid. What information would the brain
use to predict in these circumstances?
I think that is enough to start with.
Why do you think this? Do you understand how recognition/prediction would
work for a driver? Do you understand how the neural network would be used