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- From: BLOOMDA@ctrvax.vanderbilt.edu (_creative_output_)
- Subject: Re: Apple Programming. PizzaSelector
- In-Reply-To: roy@mchip00.med.nyu.edu's message of 11 Dec 1992 14:20:15 GMT
- Message-ID: <1992Dec12.002003.15424@news.vanderbilt.edu>
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- Organization: Camp Vanderbilt Vision Research Center
- References: <1992Dec8.133953.20654@yang.earlham.edu> <1g95knINN6v2@tamsun.tamu.edu> <CSTROCKB.92Dec11021548@csws8.cs.sunysb.edu> <1ga82vINNeca@calvin.NYU.EDU>
- Date: Sat, 12 Dec 1992 00:20:03 GMT
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- In <1ga82vINNeca@calvin.NYU.EDU> roy@mchip00.med.nyu.edu writes:
-
- > cstrockb@cs.sunysb.edu (Caleb Strockbine) writes:
- > > Aren't steep learning curves GOOD?! [Imagine a graph with] Time along the
- > > horizontal axis, and Amount Learned along the vertical axis. A steep curve
- > > would then indicate that lots of stuff was learned in a relatively short
- > > time, which, to me at least, means that the program/concept was easy to
- > > master.
- >
- > I guess it depends on which way you draw the curve. I would draw
- > the curve not as Amount Learned vs. Time, but as Amount Of Useful Work
- > Possible vs. Amount Of Stuff You Have To Know. In that case, a steep
- > learning cuve would indicate you have to learn a lot before you can start to
- > do anything useful at all. A shallow learning curve would indicate you can
- > start doing simple things by learning just a little.
-
- seems to me that you'd still draw Useful Work Possible on the Y axis,
- and Stuff You Have To Know on the X axis.
- (The dependent variable would seem to be what you've learned, and the
- independent variable would be what you went through to learn it.)
-
- .. in that case, steep is good, indicating swift progress. This sounds
- like a semantico-psychological backwardization of the real world image.
- (A 'steep hill' is tough to climb, right?)
-
- 'nuff said. - Dave Bloom, JSPS
-
- The captive flower in the King's wreath
- Smiles bitterly as the meadow flower envies her. - Rabindranath Tagore
-
-