This is not so much a patchwork sort of thing, but rather on-the-fly course
correction, and waiting until the last minute so that only the data you
actually need has to be calculated. I wish I had some references handy, but
unfortunately this is one of those situations where I've read several
articles on the topic but failed to memorize the location where I read
them. If I happen across one again, I'll be sure to post it.

On Fri, Aug 24, 2012 at 4:55 PM, Mike Tintner <[email protected]>wrote:

>   Aaron:   ..the old approach to making robots walk. The robot would take
> a step and then spend hours performing calculus operations on a model of
> the robot's leg to determine how the next step should proceed. The newer
> approach takes a simpler approach of letting the leg itself be its own
> model, and making real-time corrections to its movement as the robot
> recognizes it going the wrong direction. It's this on-the-fly correction
> combined with letting the system be its own model that I see as a good way
> to deal with impossible-seeming computational problems
>
> Aaron, can you provide some refs. on this newer approach in robotics –
> with which I v.much agree. I’ve talked a lot here in the past about the
> improvisational/patchwork approach to AGI. In fact, there is a small amount
> of computational tradition here, apparently  – the “bricolage” approach to
> computing:
>
> http://en.wikipedia.org/wiki/Bricolage
>
> If anyone knows more about that, I’d also be interested to hear.
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