Ben.. When the system recognizes something as being novel, how does this change its manifest behavior?
Does it "shift" its attentional focus to this novel idea to a greater degree? Does it communicate its finding to someone? Does it try to experiment further with the novel idea to verify its validity? Kevin ----- Original Message ----- From: "Ben Goertzel" <[EMAIL PROTECTED]> To: <[EMAIL PROTECTED]> Sent: Saturday, February 22, 2003 12:50 PM Subject: RE: [agi] Goal systems designed to epxlore novelty > > > Are the current configurations of the initial state of Novamente > > proprietary? If you don't mind indulging my curiosity, I'd be > > curious to see how you define large scale goals of this sort > > within the context of Novamente. > > > > -Brad > > Each goal is its own story.... Let's talk about one example: novelty. > > How does the system know when it's identified something novel? (Please > note, this novelty-identification has got to be at least in part a very > rapid highly automated process; the system can't be spending a large amount > of its time assessing each of its perceptions, thought and actions for > potential novelty!) > > It's different for the different kinds of knowledge representation used in > Novamente. > > Novelty is recognized when the truth value of an Atom (a link or a node) > changes rapidly. > > Novelty is recognized when a new PredicateNode (representing an observed > pattern) is created, and it's assessed that prior to the analysis of the > particular data the PredicateNode was just recognized in, the system would > have assigned that PredicateNode a much lower truth value. (That is: the > system has seen a pattern that it did not expect to see.) > > Novelty is recognized when a "map" (a set of Atoms that share a coherent > activity pattern) is formed, which is dissimilar to any previously existing > maps. > > It should be noted that the rules for recognizing novelty are similar to the > rules for mentioning "learning". However, novelty focuses on the suddenness > of changes in truth value, whereas learning focuses on the total amount of > changes in truth value. The two are similar conceptually but different > quantitatively. > > [Yeah, I know my answer is a bit technical and uses a bunch of insular > terminology. The terminology is explained in the Novamente essay on the > AGIRI website. Within a couple weeks we're going to have a much nicer > review article on Novamente up there, BTW.] > > -- Ben G > > ------- > To unsubscribe, change your address, or temporarily deactivate your subscription, > please go to http://v2.listbox.com/member/[EMAIL PROTECTED] > ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
