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AI EXPERT
Table of Contents
November 1986
ARTICLES
Forward Chaining in PROLOG
by Dennis Merritt
Prolog can be used effectively to write certain classes of expert
systems, using its native rule structure and inference engine.
Here we discuss a forward chaining, rule-based system. We'll
discover how forward chaining works, how to use it, and how to
implement it in Prolog.
Understanding Frame Languages, Part I
by Tim Finin
Most people base their estimates and schedules on a combination
of past experience and a good deal of guessing. This article
studies how one microcomputer-based expert system called COCOMO1
can offer solutions.
Project Costing with COCOMO1
by Mickey Williamson
This article introduces concepts which underly frame-based
representation languages by studying one simple implementation
called PFL written in Common LISP. This little language will not
only help you learn more about frames, but will also demonstrate
some of the style and features of LISP.
Procedural Programming vs. PROLOG
by Marc Kenig
Even though PROLOG is conceptually simple, to the conventional
programmer it seems to have features which seem at odds with
familiar procedural language semantics. By contrasting the
features of certain conventional languages with PROLOG, this
author might help some overcome this hurdle.
DEPARTMENTS
Brain Waves
"Another Commercial Software Technology"
Alex Jacobson, Inference Corp.
AI Insider
"AI Forum, MIS, CYBERLOG, and more"
by Susan Shepard
Expert's Toolbox
"A Flexible Knowledge Representation Scheme"
by Jonathan Amsterdam
AI Apprentice
"Knowledge + Control = Expert Systems"
by Beverly and Bill Thompson
In Practice
"Horizontal, Vertical, and Matrix Companies"
by Henry Eric Firdman
Book Store
"POP-11, Learning Theory, NLP, and Vision"
by Dr. Lance B. Eliot
Software Reviews:
Working with Guru
by Dan Shafer and Paul Anacker
Digitalk's Smalltalk/V
by Andrew Bernat
Software Reviews:
Working with Guru
by Dan Shafer and Paul Anacker