Table of Contents
AI EXPERT magazine
Catching Knowledge in Neural Nets
by C.C. Jorgensen and C. Matheus
The imitation of biological processes as a basis for AI
computation has a long history marked by periods of feverish
activity, fading interest, and resurrection. A flurry of clever
software and hardware developments has sparked a reevaluation in
the AI community as some amazing 'mind-machine' fusions pull
neural networks away from the future and into focus today.
Intelligence and the Computer:
The Central Role of Representation
by Oscar Firschein and Martin Fischler
Can intelligence be defined as the ability to create and
manipulate descriptions? Will expert systems technology ever
reach the point where machines replace humans in decision-making
tasks? Here we take a look at the central role played by the way
knowledge is encoded.
Understanding Frame Languages, Part II
by Tim Finin
Last month we introduced the general, underlying concepts behind
frame-based representation languages. This month let's focus on
a functional description of PFL and show portions of the Common
LISP code that actually implements it.
Knowledge Engineering in Practice
by Walter G. Rolandi
There is some confusion surrounding the actual application of
knowledge engineering within a defined business context. Applied
Behavior Analysis is one methodology within this emerging field
of software development that is quite interesting when compared
to traditional systems analysis.
"The AI Triangle: R&D, End User,, and Mainstream Markets"
by Lee Hecht, C.E.O., Teknowledge
by Susan Shepard
"Retrieval from a Frame Data Base"
by Jonathan Amsterdam
"Pascal and LISP: A Tale of Two Languages"
by Beverly and Bill Thompson
"Second Thoughts About AAAI '86"
by Henry Eric Firdman
"PROLOG by the Book, Guru, Simulation, and Assessment"
by Dr. Lance Eliot
"Level Five Research: Insight 2+"
by Mike Fichtelman