Ben said: > My experience is that in building any narrow-AI app based on Novamente > components, around 80% of the work goes into the application and the > domain-engineering and 20% into stuff of general value for Novamente
Abdrew said: > I would say that general high-quality financial market prediction > implementation is more of a generalist domain than many other possible > narrow-AI domains, such that really good implementations would only be > "narrow" in an application sense. The abstract classes of data you > have to integrate will map directly into most of the sensory fields > that are often considered important for general purpose AI. > ......(snip) > On the other hand, they are probably more explicitly aware of AI than > just about any other business community. If financial work or other topic actually has a high demand for general intellligence, then if Novamente or any other AGI project teamed with a narrow AI group maybe the AGI team could develote most of it's time/money to the general AI aspects and the narrow AI team could worry about the 80% of the total task that is narrow. I know that the general and narrow systems have to integrate so each team will have to think about the work the other is doing but presumably the AGI team, under the two team scenario could spend more than 20% of its time on general AI work. Cheers, Philip ------- To unsubscribe, change your address, or temporarily deactivate your subscription, please go to http://v2.listbox.com/member/[EMAIL PROTECTED]
