Perhaps you could find this interesting:
"Case-Based Approximate Reasoning"
Hüllermeier, Eyke


On May 14, 2007 2:50 PM, Mark Waser <[EMAIL PROTECTED]> wrote:
>
>
> > Also anything you can find on case-based reasoning, tho it is woefully
> rare.
>
> Having done a lot of case-based reasoning almost 23 years ago . . . .
>
> Case-based reasoning is effectively analogous to weighted nearest neighbor
> in multi-dimensional space.  If you (or the system) can define the
> dimensions and scale and weight them, it's an awesome method -- this is
> equivalent to the logic-based/expert-system approach to CBR.  The other
> alternative, which most people don't realize is exactly equivalent to CBR,
> is to just use neural networks (since they just effectively "map" the
> multi-d space -- complete with scaling and weighting).
>
> Having used both methods, I would say that, until they both scale themselves
> fairly quickly into oblivion, the neural network method is more accurate
> while CBR provides much better explanations.  The unfortunate thing is that
> as you add more and more dimensions, both methods falter pretty quickly.
>
> ----- Original Message -----
> From: "J Storrs Hall, PhD" <[EMAIL PROTECTED]>
> To: <[email protected]>
>
>
> Sent: Monday, May 14, 2007 7:51 AM
> Subject: Re: [agi] Tommy
>
>
>
> > On Saturday 12 May 2007 10:24:03 pm Lukasz Stafiniak wrote:
> >
> >> Do you have some interesting links about imitation? I've found these,
> >> not all of them interesting, I'm just showing what I have:
> >
> > Thanks -- some of those look interesting. I don't have any good links, but
> I'd
> > reccomend Hurley & Chater, eds, Perspectives on Imitation (in 2 vols).
> >
> > Also anything you can find on case-based reasoning, tho it is woefully
> rare.
> >
> > Josh
> >
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