Russ,
I once suggested something that relates (I think) to what you are saying
here:
http://www.mozart-oz.org/lists/oz-users/0456.html
Cheers,
Torbjörn
Russ Abbott wrote:
It's been an interesting experience for me to learn about Oz. As you
may know, I'm a bit more than about a month into it. My approach has
been to learn enough to get started and then to attempt to learn what
I need as additional questions arose. As some of you have noted, I
have been resistant to the idea of reading everything in advance as a
way of having at my disposal the particular piece of information I
needed at any one time.
For different people, depending on the directions in which they go,
their trail of information needs will differ. In my case, I've been
focusing on Oz for logic programming--after which I'll be moving to Oz
for constraint programming. I haven't needed (nor wanted) to think
about Oz's object, stateful, or distributed capabilities at all. It
has been a primary uncertainty for me how much I needed to know about
Oz's data flow variable model.
I think that most people learn (or would like to learn) things this
way: learn what you need to get started (hence the ubiquitous "hello
world" examples) and then find out about new stuff as you need it.
Although I know it would be a lot of work, I think it would be a very
useful exercise (for Oz as well as for any non-trivial body of
information) to see whether Oz documentation could be organized in a
way that would facilitate this style of learning/exploration. What do
you need to know to get started? What are the directions in which one
might go? Along each of those paths, what are the questions that
might arise? Can those questions be explained on the basis of the
information that has been encountered so far? If not what is the
minimal prerequisite knowledge that is need to answer each of those
individual questions. Etc.
I'm not prepared to take on such a task. But if someone were able to
get support for doing it, not only would the result be valuable for
Oz, it would serve as a model for how to organize other
non-trivial bodies of information.
-- Russ
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