Studying Intelligence Thru Entropy?
"A case in point. Neural networks are weighted switches. They store their 'weights' in the neuron. The storage of these weights determines the networks ability to perform an intellectual task. Therefore studying the 'entropy' of these weights and what and how they change and the effects of these changes is to study the networks 'intelligence' directly?
Another case in point. Genetic algorithms can search a solution landscape and then select the 'best' solution as a seed to the next iteration. This 'best current solution' will have an entropy or measure of order or disorder. So, in these terms, the system is measuring the level of chaos in the system according to some rules and selecting the solution that produces the least chaos (most entropy)
Is this striking any cords with anyone?"
Specist! We algea not only process more information but we are more intelligent than the off-the-rack homo sapien. We're just smart enough not to let on.
> I wouldn't be the grammar nazi if I didn't take point out that: "Is this striking any cords with anyone?" (line from original story) is incorrect.
"didn't take point out"???
Playing grammar nazi is a dangerous game: there seems to be a law of nature that increases the probability of grammatical errors in posts criticizing others' grammar. (I think they call it the "Second Law of Poetic Justice".)
Sheesh, evil *and* a jerk. -- Jade
while several tons of algae are able to produce more information ... than a similar mass of humans, I suspect that the humans possess more intelligence.
:o)
You've obviously never manned a help desk
Mountain Dew cans is the conversion factor. Joules of energy fed to Computer Science students.