I dont know if, how, or how well NARS would handle all of the task of performing the type of recastings you claim is desirable.
But remember NARS was part of Hofstadters Fluid Analogy Research Group (FARG), which was dedicated to the very type of recasting you mention -- that is non-literal matching and analogy making. One of NARSs key functions is to place concepts into a generalization and similarity (gen/sim) network that makes it easy to see the correspondence between different, yet similar, parts of two semantic structures over which analogies are to be made. However, from reading about four or five of Pei Wangs NARS papers I have not seen any discussion of any net matching procedure that could be used for non-literal similarity-based matching of net nodes such the net matching algorithm used in Hofstadters own Copycat program -- a program that was amazingly good at making creative analogies in an interesting toy domain. But one doesnt have to be a rocket scientist to figure out how to use NARSs type of gen/sim network in such net matching. Ed Porter Porter & Associates 24 String Bridge S12 Exeter, NH 03833 (617) 494-1722 Fax (617) 494-1822 [EMAIL PROTECTED] -----Original Message----- From: Vladimir Nesov [mailto:[EMAIL PROTECTED] Sent: Wednesday, October 10, 2007 6:50 PM To: [email protected] Subject: Re: [agi] Do the inference rules.. P.S. These 'recastings' of problems are essentially inference steps, where each step is evident and is performed by trained expert's intuition. Sequence of such simple steps can constitute complex inference which leads to solution of complex problem. This recasting isn't necessarily related to physical common sense, even though each intermediate representation can be represented as spatially-temporal construction by virtue of being representable by frame graphs evolving over time, which does not reflect the rules of this evolution (which are the essence of inference which is being performed). On 10/11/07, Mike Tintner <[EMAIL PROTECTED]> wrote: > Just to underline my point about the common sense foundations of logic > and general intelligence - I came across this from : Education & > Learning to Think by Lauren B Resnick - (and a section entitled > "General Reasoning - Improving Intelligence). > > "Recent research in science problem solving shows that experts do not > respond to problems as they are presented - writing equations for > every relationship described and then using routine procedures for > manipulating equations.Instead they reinterpret the problems, > recasting them in terms of general scientific principles until the > solutions become almost self-evident." > > He points out that the same principles apply to virtually all subjects > in the curriculum. I would suggest that those experts are recasting > problems principally in terms of physical common sense models. NARS, > it seems to me, "responds to problems as they are presented." > > > ----- > 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/?&; > -- Vladimir Nesov mailto:[EMAIL PROTECTED] ----- 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=52164935-1e09e0
