Re: AI - WHY?

Hamer, Peter (pgh@europem01.nt.com)
Tue, 5 Jan 1999 15:47:50 +0100 (MET)

> Martin Sewell wrote in message <71qak3$vfc@news3.force9.net>...
> >Hello (or perhaps: "Help!")
> >
> >I am currently doing a PhD in Intelligent Trading Systems (as in stock
> >markets, etc.), and as the title suggests fully intended to utilise various
> >aspects of Artificial Intelligence. As you'd imagine, the major goal is
> >trying to predict an almost-but-not-quite-random time series.
> >
> >Neural networks, genetic algorithms, fuzzy logic - they all seemed so
> >interesting (yes, even fun!), my only concern was which technique(s) were
> >best applied to this sort of application.
> >
> >I now seem to be gradually eliminating all of the AI techniques which I set
> >out to use.
> >
> >Goodbye fuzzy logic - why not do it properly using statistical inference
> and
> >probability?
> >
> >GAs? Just another search algorithm - adaptive simulated annealing (ASA)
> may
> >be better. (Okay, ASA could be considered AI too?)
> >
> >Neural networks? Classical statistical pattern recognition may be better
> in
> >many cases.
> >
> >I'm not aware of much work on the theoretical study of intelligent space.
> >Maybe this should be tackled first?
> >
> >Any comments or suggestions would be appreciated. Either to rekindle my
> >enthusiasm for AI, or to confirm my suspicions.
> >
> >Regards
> >
> >Martin Sewell
> >martin@msewell.force9.co.uk

Just to point out that the method of encoding can be as important as the method
of inference.

Multiresolution analysis, especially wavelets, seem to have real advantages in
this area.

Peter

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