John's reference to pangaro.com led to an interesting page:
http://www.pangaro.com/published/thstr-and-me.html
which led to another interesting page:
http://carbon.cudenver.edu/~mryder/aect_95.html
which leads to another page, this one regarding Gordon Pask, progenitor of
Conversation Theory -- quite possibly one of the more important lines of
thinking we should be considering here:
http://www.pangaro.com/Pask-Archive/Pask-InM-ASC.html
which leads to a paper by Pangaro that presents a view on Pask's work:
http://www.pangaro.com/published/Pask-as-Dramaturg.html
It is not at all clear where Conversation Theory will lead, but the term
Entailment Mesh, as illustrated on
http://carbon.cudenver.edu/~mryder/aect_95.html
is particularly intriguing. We are working, in some sense, on the social
construction of knowledge: http://carbon.cudenver.edu/~mryder/augment.html
(another page on augumentation of intellect, talking about USENET, Pask, and
other stuff -- found at Google looking up "entailment mesh").
Another page: Bootstrapping knowledge representations: from entailment
meshes via semantic nets to learning webs by Francis Heylighen
http://pespmc1.vub.ac.be/Papers/BootstrappingPask.html is particularly
germain to this line of thinking (read: required reading).
At its roots, Augment is about enhancing human intellect. Human intellect
is the topic of raging debates, and I tend to stand with those who follow
the constructivist line of reasoning. In the end, we must find a way to
implement Doug's vision and in my judgement, that will require that we
essentially adopt some mode of representation of knowledge. To get to the
place where we have chosen a representation scheme, we will need to go
through a variety of use cases and scenarios as a means to discover the many
ways in which users will cause their intellect to be enhanced.
As I see it, Doug has written a lot and spoken widely on his vision for this
project and we should pay closer attention to his words. My take on them,
and not a particularly deep one yet, is that he has spent many years dealing
with the syntactic/physical constraints on an Augment system. He has
devised a variety of tools (e.g. mouse), methods (click and double click
combined with keystrokes -- these days known as "accelerators"), and so
forth. In my naive judgement, Augment spent less time on an internal
representation scheme that would allow users to manipulate knowledge to
attain a multitude of views of that knowledge. Doug has focused on the
Transcoding approach, one which I think will be of great importance to the
final product.
Eric, at the last meeting, took a straw vote that showed use cases to be at
the top of the list, but his vote failed to consider the more than three
posts to this list regarding Doug's "vector", one which put solving
Transcoding at the top of the list. I personally believe that usecases and
transcoding should share the top of the list. Issues of licensing and so
forth could/should be placed far behind in an agenda. Usecases, and
transcoding will tell us what we need to fill in for knowledge
representation, and, in my judgement, we will not get a DKR worthy of our
efforts unless we do pay attention to the representation issues at hand.
The URLs listed above are just a tiny view into an enormous space, one with
which I believe we must become familiar.
My $0.02
Jack Park
From: Eric Armstrong <eric.armstrong@eng.sun.com>
> "John J. Deneen" wrote:
> >
> > 1) Ideas for Use Case Scenarios
> > Groupware and Corporate Repositories: A Proposal for Leveraging
> > Intellectual
> > Capital
> > http://pangaro.com/proposals/corp-repos.html
> >
> Can you digest what this has to say about use cases that is
> useful for our purposes?
>
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