On Jan 23, 2005, at 10:01 AM, Ben Goertzel wrote:
About computational finance...
I think this is one plausible approach to funding AGI research -- but it's
not a surefire route to success, IMO it's just another interesting narrow-AI
problem to attack, with the potential to generate a lot of cash and the
certainty of absorbing a lot of attention along the way...
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. This
is the nature of narrow AI. I'm sure it's the same with financial
prediction.
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.
The difficulty is that the financial community is not so interested in funding blue-sky research as they are in acquiring interesting implementations of theory. If you have something that works then money is no object, but most won't pay you to develop your ideas unless you already have a some examples of efficacy in the problem space to show.
On the other hand, they are probably more explicitly aware of AI than just about any other business community.
j. andrew rogers
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