notes (in html) or if you desire them in Word they are here
NOAH overhead from class
Rich and Knight AI book code
LandRover an AI CSCI 223 Project
fortune teller project by Simon Simonian
Artificial Life project by Kevin Fries
Franz, Inc. for Windows and Linux
versions of Allegro Common Lisp
PAIL "Portable Artificial Intelligence Lab" access here at CSUC
Of OPS5 origins:
NM-iOpus a Smalltalk expert system shell
Knowledge Pro from Knowledge Garden
a demo tool with rule-based capabilities
links to some free expert system shells
PROLOG and LISP available compiler/interpreters for Macs and PCs (and some Natural Language stuff)
CMU Artificial Intelligence Repository FILLED with free software and materials of general interest to AIers
I also have a very old version of emycin for PCs available via ftp
(ftp.ecst.csuchico.edu) in the directory in users/amk/csci222/Emycin. This zip
file was created on UNIX using zip, so unzip the file. Call me or send me
mail and I can fax you how to get the code started and provide a very small
example. You might want to check Stanford for a copy of the Emycin Manual.
I tried to get a copy on the net since the Report Number is STAN-CS-81-885, but the reports available skip from 883 to 887. Bummer
VisualWorks and Smalltalk access You might
use some packages that require this environment. Information on the
Michigan's Generic Tasks implementation is here. Using machines at Chico
Some example classifiers and structured matchers (in LISP) at /usr/ai/hp/testcases/csrl and /usr/ai/hp/testcases/ra
The LISP classification problem-solver: CSRL as shown in class
And again... PAIL "Portable Artificial Intelligence Lab" access
Here at Chico, Allegro Common LISP is on the SUNs at /opt/franz/bin.
Make sure that is in your .profile. Then, at the command line type
pb_composer to start LISP up.
If you cannot exit with (exit) try
(excl:exit) (the package with the exit function in it)
A nice toolset here running on this LISP
for classification and other tasks and specifically here to run sample programs
Available off the web: Mostly all Production Systems
This has been downloaded and compiled on our
SUNs in the directory /opt/java/jess. You still need the README page to
see how it works though
If you want to run it on your PC or
Mac, you will need to download it (and Java) yourself.
Available at CSUC
Hopefully, by the time we get to the second lab we will have the
Generic Tasks in Java finished
See also the directory /usr/ai/hp for
and directories