> 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 > > ----- > This list is sponsored by AGIRI: http://www.agiri.org/email > To unsubscribe or change your options, please go to: > http://v2.listbox.com/member/?&; > ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=231415&user_secret=fabd7936
