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Ah, I see. I guess I meant general in the parameterization sense, not necessarily in the abstraction sense. Sorry, that could've been more clear. I've not dug
by adenozine 6y ago
Ah, I see. I guess I meant general in the parameterization sense, not necessarily in the abstraction sense. Sorry, that could've been more clear.
I've not dug into CGP yet, though I've read mentions of it. Would you perhaps have a good resource for learning? I'm a little weak on the math side.
- UncleOxidant 6y ago> I'm a little weak on the math side. In general, I think that tends to one of the advantages of genetic algorithm/programming over neural nets/deep learning - the math is comparatively quite easy. This is the paper that introduced CGP by Julian Miller: https://thelackthereof.org/docs/library/cs/gp/Miller,%20Julian:%20Cartesian%20Genetic%20Programming.pdf https://thelackthereof.org/docs/library/cs/gp/Miller,%20Juli... I found this good survey of CGP here (from 2018): https://link.springer.com/content/pdf/10.1007/s10710-019-09360-6.pdf https://link.springer.com/content/pdf/10.1007/s10710-019-093...