|ai@work - How are intelligent tools being used to solve real world
problems? Sales support, maintaining complex software, managing network
phone traffic, and automating documentation and code production are some
success stories from AcknoSoft, Neuron Data, Gensym Corp., and Genitor Corp.
|Expanding WebLS to Support a Breast Cancer Decision Guide -- The
WebLS is an inference engine for web-based advisors and problem solvers
designed for building expert systems. Recently, Mary Kroening, Dr. Sabina
Robinson, and Dr. Fred Hegge used WebLS to support a large web-based breast
cancer decision guide. Here they discuss the process and their future plans.
|The Adoption of OT -- In what ways are companies using object technology?
What are the benefits? Paul Harmon reports on the state of the industry
as business moves to OT in this excerpt from his study, "The Corporate Use
of Object Technology."
|Modeling Methodology 3: Algorithm Selection - In the third part
of his series, Will Dwinnell examines the different modeling algorithms
available and why it's important to understand their qualities when selecting
one for a project.
|Intentional Objects in Business and Manufacturing - Modeling a
business or manufacturing process using intentional objects, an organization
can capture and refine object behavior to yield a competitive advantage
where it counts - in the marketplace. Lance Sherry gives a comprehensive
|Secret Agent Man - IBM Turns Over a New Leaf with Ginkgo
|by Don Barker
|Intelligence Files - Computer Associates Steps Up to
|by David Blanchard
|AI and the Net - Java Based AI Tools
|Product Updates ---------------------------->
|16 late breaking product announcements from
around the world in the fields of:
|Expert System Development Tools
|PC AI Buyer's Guide ----------------------->
|Object Oriented Development
|Product Service Guide - Provides access to information
on an entire category of products
|PC AI Blackboard - AI advertisers bulletin board
OOD - An AI Success Story
| Over the past twelve years, PC AI Magazine has covered new technologies
as they evolved from initial introduction through acceptance by the computer
industry. Successful AI technologies include knowledge management, expert
systems, symbolic processing, data mining, intelligent agents, fuzzy logic,
neural networks, and the focus of this issue, object oriented development.
While the initial hype surrounding AI created unrealistic expectations in
the mainstream press and the general public, causing a general abandonment
of the technology, we have recently seen a reversal in this attitude. Now
many mainstream companies find themselves in the center of the OOD world.
| Languages like LISP, Prolog, and the rule-based AI development systems
broke away from the entrenched procedural programming paradigm for assembly
language, Fortran and C. For those of you who don't remember features of
the original LISP machines and object based develoment software, here are
some examples: objects, classes, methods, events, demons (agents), multiple
inheritance types, query methods, and GUI development tools. Now doesn't
that sound familiar . . . the LISP parentheses are replaced with C++ semicolons,
the class syntax adjusted, class contents redistributed, and the requirement
of a LISP machine to run has been eliminated - so the same software that
suffered from the "AI" label is now enjoying success in its new incarnation.
Today we call it Object Oriented Development - whether it's C++, Java, or
one of the many offshoots. AI didn't make a grand splashy entrance - it
simply changed names. By the way, Prolog and Lisp are more powerful than
| In keeping with our focus on applications of advanced technology, our
feature article by Lance Sherry, "Intentional Objects in Business and Manufacturing,"
examines the use of collaborating objects in the process control application
of juice manufacturing. See how objects understand and influence their environment
by autonomously directing their behavior to complete a task. Paul Harmon's
"Adoption of OT" examines industry trends in the Object Oriented Technology
field. Will Dwinnell continues his series on modeling methodology, covering
algorithm selection in this third installment. He examines the different
types of algorithms and what to keep in mind when choosing one for a project.
Mary Kroening, Dr. Sabina Robinson, and Dr. Fred Hegge discuss a web-based
application of expert systems in the medical field. This breast cancer decision
guide assists patients in the various stages of the treatment process, including
prevention, detection, and coping. In this collection of "AI@Work" susccess
stories, CBR is used to create a better sales support tool, a rules language
defines business logic, an expert advisory system manages phone network
traffic, and we see a better way to document C/C++ code. We hope these applications
provide helpful insights into the power and creativity AI technologies bring
| We would like to hear from you, so please e-mail your comments to PCAI.TH @ gmail.com..
| Terry Hengl