1) One trouble with imitating biology is that stochastically driven processes tend to achieve maxima by exploiting environmental circumstances that are not inte

1) One trouble with imitating biology is that stochastically driven processes tend to achieve maxima by exploiting environmental circumstances that are not intended or considered to be part of the design constraint. See for example the genetic-algorithm designed tone differentiator circuit on FPGA, which achieved extreme efficiency but the experimentors could not explain the circuit's behavior based on known theory, moreover, the circuit ceased to function correctly when tested outside of the lab it was 'grown' in. 2) Biology has to satisfy many constraints which are not hard limitations on artificial brains, such as: * Thermodynamics concerns, surface-area to volume ratio * A tightly controlled operating temperature of 97-99 F * Weight (wetware brains must float on CSF because they belong to moving animals) * Size