Actually the iterative learning methods I was thinking about are called genetic algorithms.
Isn't that a definition? I mean, "iterative"="generational", right?
Sorry I'm a downer. I just kind of see all processes as evolutionary--when you get down to it, natural selection is just the tautological statement "if it works, it works; if it don't, it don't."
But your idea for a learning synthesizer is awesome. I did some research in machine language learning; we should chat about it sometime.
Aw, well sure. I agree with your definition. In computer science, thought, genetic algorithms are just a particular framework for iterative programs which imitate evolution very strictly--I was talking more about the convention than a strict definition.
But anyway, we should talk about it sometime. Also, I STILL have your housewarming present (I forgot to bring it on Saturday).
I made a comment, but LJ ate it. Here's a shorter version. The learning synthesizer is crazy. Crazy awesome (if retardedly difficult to construct). Same for the social simulation, although the contradictions in inputs could lead to some zany on-goings in sim-world.
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Actually the iterative learning methods I was thinking about are called genetic algorithms.
Reply
Isn't that a definition? I mean, "iterative"="generational", right?
Sorry I'm a downer. I just kind of see all processes as evolutionary--when you get down to it, natural selection is just the tautological statement "if it works, it works; if it don't, it don't."
But your idea for a learning synthesizer is awesome. I did some research in machine language learning; we should chat about it sometime.
Reply
But anyway, we should talk about it sometime. Also, I STILL have your housewarming present (I forgot to bring it on Saturday).
Reply
The learning synthesizer is crazy. Crazy awesome (if retardedly difficult to construct).
Same for the social simulation, although the contradictions in inputs could lead to some zany on-goings in sim-world.
Reply
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