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?"
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