The definition I proposed is based on the unknown formulaic definition of an observer, a program with resources, that estimates in some way, possibly 100% wrong universally but for local purposes it has utility. The observer in this case could be us defining what the similarity comparison of the number is even if a number could be a googleplex of digits.
An example would be scene classification that parses scene contents based on an observed or estimated/computed complexity. Is that estimated complexity not a K'() as in Michael's case? That scene A could be similar to another scene B based on a complexity derived with available computed resources. John -----Original Message----- From: Ben Goertzel [mailto:[email protected]] Sent: Friday, February 21, 2014 8:53 PM To: AGI Subject: Re: [agi] Numeric Similarity Kolmogorov complexity is not accurately estimable in either worst case or average case, in any feasible (or even computable) way ... On Sat, Feb 22, 2014 at 8:27 AM, <[email protected]> wrote: > > K() would be the Kolmogorov complexity. Matt Mahoney always complains > that the K Complexity is not computable but never talks about it being estimable. > > John > > > > On 2014-02-21 19:05, Piaget Modeler wrote: >> >> I like this too. How would one define K ? >> >> ~PM >> >> ------------------------- >> >> From: [email protected] >> To: [email protected] >> Subject: RE: [agi] Numeric Similarity >> Date: Fri, 21 Feb 2014 16:18:16 -0500 >> >> It could also be something like this: >> >> Similarity(A, B) = 1 / (1 + |K'(A) - K'(B)|) >> >> where K'(A) is the estimated complexity of A. The K' function is >> dependent on observer formulaics and resources. >> >> John >> >> FROM: Piaget Modeler [mailto:[email protected]] >> SENT: Friday, February 21, 2014 3:46 PM >> TO: AGI >> SUBJECT: RE: [agi] Numeric Similarity >> >> >> Actually Aaron Hosford just recommended >> >> 1 / (1 + | a - b | ) >> >> Which I like much better. >> >> Thanks Aaron. >> >> ~PM >> >> ------------------------- >> >> >> From: [email protected] >> To: [email protected] >> Subject: RE: [agi] Numeric Similarity >> Date: Fri, 21 Feb 2014 06:02:46 -0800 >> >> Thanks to all respondents. >> >> In the end I found a classic numeric similarity metric: 1 - | a - b | >> >> It's not ideal since numeric scores can dominate other attribute >> scores. >> >> Ergo, I have to devise a good weighting scheme. >> >> Nothing's perfect I suppose. >> >> Cheers, >> >> ~ PM >> >> AGI | Archives [1] [2]| Modify [3] Your Subscription >> >> [4] >> >> AGI | Archives [1] [5]| Modify [3] Your Subscription >> >> [4] >> >> AGI | Archives [1] [2] | Modify [3] Your Subscription >> [4] >> >> AGI | Archives [1] [5] | Modify [6] Your >> Subscription [4] >> >> >> >> Links: >> ------ >> [1] https://www.listbox.com/member/archive/303/=now >> [2] https://www.listbox.com/member/archive/rss/303/19999924-4a978ccc >> [3] https://www.listbox.com/member/?& >> [4] http://www.listbox.com >> [5] https://www.listbox.com/member/archive/rss/303/248029-3b178a58 >> [6] https://www.listbox.com/member/?& > > > > > ------------------------------------------- > AGI > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: > https://www.listbox.com/member/archive/rss/303/212726-deec6279 > Modify Your Subscription: > https://www.listbox.com/member/?& > Powered by Listbox: http://www.listbox.com -- Ben Goertzel, PhD http://goertzel.org "In an insane world, the sane man must appear to be insane". -- Capt. James T. Kirk ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/248029-3b178a58 Modify Your Subscription: https://www.listbox.com/member/?& Powered by Listbox: http://www.listbox.com ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
