cardFile++  Version 1.0

This application is a recreation of the built-in Names application which
takes advantage of two types of learning.  It supports only the detailed
"Show All" view.  It is compatible with the built-in Names application.

The application was written for research purposes and therefore does not
contain all the features of a full-blown application, such as overviews,
routing, filing, and intelligent assistance.  However, since cardFile++ is
completely compatible with the original Names app, all of these
unimplemented functions can be accomplished through it.

The advantage of cardFile++ over the original Names application is in the
entering of the name data.  This process is much more efficient and user
friendly when using basic learning techniques to aid the user as much as
possible.  cardFile++ employs two types: Picker Learning and Filler
Learning.

Picker Learning - adds a few, recently entered values to pickers for many
of the expando lines.  For instance, the "Title" expando doesn't have a
built-in picker, but in cardFile++ it does with up to four titles recently
entered by the user.

Filler Learning - fills in expando lines by looking at previous Names soup
entries.  For instance, when the user enters a "Company", the address,
email suffix, and phone prefix are filled in by looking in the Names soup
for another person from the same company.

These two methods are combined by adding an extra lookup value to the
picker.  For instance, if there are people from the same company but with
different addresses, then one address will be inserted into the "Address"
expando and one will be put into the "Address" picker.

There is a demo in the application to show the user how to get maximum
benefit from cardFile++.

This application is freeware brought to you by the Newton AI group at
Washington State University.  Contact Patricia Crane Wells at
pwells@eecs.wsu.edu for any further information.

© 1994 Jeffrey C. Schlimmer & Patricia Crane Wells.


---------------------------
Patricia Crane Wells
School of EECS
Washington State University
Pullman, WA 99164-2752
(509) 335-2215
pwells@eecs.wsu.edu