If permissible, I to would be interested in the JoETAI version of your paper.
Thanks, Mike Ramsey On 10/4/07, Edward W. Porter <[EMAIL PROTECTED]> wrote: > > In response to Pei Wang's post of 10/4/2007 3:13 PM > > Thanks for giving us a pointer so such inside info. > > Googling for the article you listed I found > > 1. The Logic of Categorization, by PeiWang at *** > > http://nars.wang.googlepages.com/wang.categorization.pdf*<http://nars.wang.googlepages.com/wang.categorization.pdf> > FOR > FREE; and > > 2. A logic of categorization Authors: Wang, Pei; Hofstadter, > Douglas; Source: Journal of Experimental & Theoretical Artificial > Intelligence <http://www.ingentaconnect.com/content/tandf/teta>, > Volume 18, Number 2, June 2006 , pp. 193-213(21) FOR $46.92 > > Is the free one roughly as good as the $46.92 one, and, if not, are you > allowed to send me a copy of the better one for free? > > Edward W. Porter > Porter & Associates > 24 String Bridge S12 > Exeter, NH 03833 > (617) 494-1722 > Fax (617) 494-1822 > [EMAIL PROTECTED] > > > -----Original Message----- > From: Pei Wang [*mailto:[EMAIL PROTECTED] <[EMAIL PROTECTED]>] > Sent: Thursday, October 04, 2007 3:13 PM > To: agi@v2.listbox.com > Subject: Re: [agi] breaking the small hardware mindset > > On 10/4/07, Edward W. Porter <[EMAIL PROTECTED]> wrote: > > > > > > > > Josh, > > > > (Talking of "breaking the small hardware mindset," thank god for the > > company with the largest hardware mindset -- or at least the largest > > physical embodiment of one-- Google. Without them I wouldn't have > > known what "FARG" meant, and would have had to either (1) read your > > valuable response with less than the understanding it deserves or (2) > > embarrassed myself by admitting ignorance and asking for a > > clarification.) > > > > With regard to your answer, copied below, I thought the answer would > > be something like that. > > > > So which of the below types of "representational problems" are the > > reasons why their basic approach is not automatically extendable? > > > > > > 1. They have no general purpose representation that can represent > > almost anything in a sufficiently uniform representational scheme to > > let their analogy net matching algorithm be universally applied > > without requiring custom patches for each new type of thing to be > > represented. > > > > 2. They have no general purpose mechanism for determining what are > > relevant similarities and generalities across which to allow slippage > > for purposes of analogy. > > > > 3. They have no general purpose mechanism for automatically finding > > which compositional patterns map to which lower level representations, > > and which of those compositional patterns are similar to each other in > > a way appropriate for slippages. > > > > 4. They have no general purpose mechanism for automatically > > determining what would be appropriately coordinated slippages in > > semantic hyperspace. > > > > 5. Some reason not listed above. > > > > I don't know the answer. There is no reason why you should. But if > > you -- or any other interested reader – do, or if you have any good > > thoughts on the subject, please tell me. > > I guess I do know more on this topic, but it is a long story for which I > don't have the time to tell. Hopefully the following paper can answer some > of the questions: > > A logic of categorization > Pei Wang and Douglas Hofstadter > Journal of Experimental & Theoretical Artificial Intelligence, Vol.18, > No.2, Pages 193-213, 2006 > > Pei > > > I may be naïve. I may be overly big-hardware optimistic. But based > > on the architecture I have in mind, I think a Novamente-type system, > > if it is not already architected to do so, could be modified to handle > > all of these problems (except perhaps 5, if there is a 5) and, thus, > > provide powerful analogy drawing across virtually all domains. > > > > Edward W. Porter > > Porter & Associates > > 24 String Bridge S12 > > Exeter, NH 03833 > > (617) 494-1722 > > Fax (617) 494-1822 > > [EMAIL PROTECTED] > > > > > > > > -----Original Message----- > > From: J Storrs Hall, PhD [*mailto:[EMAIL PROTECTED] <[EMAIL PROTECTED]> > ] > > Sent: Thursday, October 04, 2007 1:44 PM > > To: agi@v2.listbox.com > > Subject: Re: [agi] breaking the small hardware mindset > > > > > > > > On Thursday 04 October 2007 10:56:59 am, Edward W. Porter wrote: > > > You appear to know more on the subject of current analogy drawing > > > research than me. So could you please explain to me what are the > > > major current problems people are having in trying figure out how to > > > draw analogies using a structure mapping approach that has a > > > mechanism for coordinating similarity slippage, an approach somewhat > > > similar to Hofstadter approach in Copycat? > > > > > Lets say we want a system that could draw analogies in real time > > > when generating natural language output at the level people can, > > > assuming there is some roughly semantic-net like representation of > > > world knowledge, and lets say we have roughly brain level hardware, > > > what ever that is. What are the current major problems? > > > > The big problem is that structure mapping is brittlely dependent on > > representation, as Hofstadter complains; but that the FARG school > > hasn't really come up with a generative theory (every Copycat-like > > analogizer requires a pile of human-written Codelets which increases > > linearly with the knowledge base -- and thus there is a real problem > > building a Copycat that can learn its concepts). > > > > In my humble opinion, of course. > > > > Josh > > > > ----- > > This list is sponsored by AGIRI: > > *http://www.agiri.org/email*<http://www.agiri.org/email>To > > unsubscribe or change your options, please go to: > > *http://v2.listbox.com/member/?&* <http://v2.listbox.com/member/?&;> > > > > ________________________________ > > This list is sponsored by AGIRI: > > *http://www.agiri.org/email*<http://www.agiri.org/email>To > > unsubscribe or change your options, please go to: > > *http://v2.listbox.com/member/?&* <http://v2.listbox.com/member/?&;> > > ----- > This list is sponsored by AGIRI: > *http://www.agiri.org/email*<http://www.agiri.org/email> > To unsubscribe or change your options, please go to: * > http://v2.listbox.com/member/?&* <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/?&; > ----- 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=8660244&id_secret=50090536-18ce03
