I don’t like NN’s because, IMHO, they can’t really learn outside the box. They can learn a specific function, but if it changes, it will take the same amount of time for them to relearn the new one. A logical AI thats abstracted from the input/output cycle, eg; can learn how to learn, can learn that the function is changing predictably and change the network accordingly. So maybe a NN powered by an expert system that guides the learning process? Even so, the advantage to an NN is that its parallel. If you lose that, then you might as well stick with an expert system.
Oops, did I break any unspoken rules by posting in a really really old topic? Sorry if I did :’(
I don’t like NN’s because, IMHO, they can’t really learn outside the box. They can learn a specific function, but if it changes, it will take the same amount of time for them to relearn the new one. A logical AI thats abstracted from the input/output cycle, eg; can learn how to learn, can learn that the function is changing predictably and change the network accordingly. So maybe a NN powered by an expert system that guides the learning process? Even so, the advantage to an NN is that its parallel. If you lose that, then you might as well stick with an expert system.
Oops, did I break any unspoken rules by posting in a really really old topic? Sorry if I did :’(