Brad,
One useful distinction here is between "declarative" and "procedural" knowledge. Cyc seems moderately strong on declarative knowledge (though I think it misses most of the fine-grained declarative knowledge that helps us cope with the real world... it focuses on relatively abstract levels of declarative knowledge...) Cyc is not strong at all on procedural knowledge!! ... and "how to self-modify your code" is pretty much procedural not declarative knowledge. Just as programming skill is largely procedural rather than declarative knowledge -- thus one has to learn it by doing as well as by reading and studying... Explicit encoding of procedural knowledge is very hard, perhaps even harder than encoding of fine-grained declarative knowledge ... Ben G > > Just to pick a point, Eliezer defines Seed AI as "Artificial > > Intelligence designed for self-understanding, self-modification, and > > recursive self-enhancement". I do not agree with you that pure Seed AI > > is a know-nothing baby. > > I was perhaps a bit extreme in my word choice, but I do not > believe that the axis I mentioned is orthogonal to the question > of hand-wiring of a knowledge base. Certainly some concepts and > tinkering must be included in a seed-AI, but I think that the > representations a seed-AI will develop are one and the same as > the knowledge that Cyc will require to be hand-made. > > This isn't really a semantic argument as it might seem at first > glance, rather it's a question of the degree to which "knowledge" > is separable from the internal machinery that a seed-AI will > construct in its growth. > > But that's just my opinion, it's been known to change before :) > > -Brad > > > > ------- > 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]
