CMU Artificial Intelligence Repository
CL-Protos: Knowledge Acquisition for Heuristic
CL-PROTOS is a Common Lisp reconstruction of the research version of
the Protos exemplar-based learning apprentice conceived by E. Ray
Bareiss and Bruce W. Porter of the Artificial Intelligence Laboratory
at The University of Texas at Austin. Protos was originally developed
as an experiment in knowledge acquisition for heuristic classification
The original research version of Protos was written in Prolog. This
Common Lisp implementation is a reconstruction, not a Prolog-to-Lisp
rewrite. Thus, CL-Protos differs from the original Protos in several
places, but mostly by intention. Ray Bareiss had a consulting role in
this reconstruction and suggested many of the changes.
Requires: Common Lisp
Ports: CL-Protos has been run on Symbolics, TI Explorer, and HP 9000.
Copying: Copyright 1988, by Daniel L. Dvorak
Use, copying, modification, and distribution permitted
for educational and research purposes only.
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Rita Duran, Dan Dvorak, Jim Kroger, Hilel Swerdlin, Ben Tso.
Contact: Bruce W. Porter
Authors!Bareiss, Authors!Duran, Authors!Dvorak,
Authors!Eilerts, Authors!Kroger, Authors!Porter,
Authors!Swerdlin, Authors!Tso, CL-PROTOS,
Case-Based Reasoning, Lisp!Code, PROTOS,
Ray Bareiss, PhD Thesis, Department of Computer Sciences, The
University of Texas at Austin, 1988.
Porter, B., Bareiss, R., and Holte, R., "Concept Learning and
Heuristic Classification in Weak-Theory Domains", to appear in the AI
Journal Fall 1990.
Dan Dvorak, "CL-Protos Users Guide"
Dan Dvorak, "CL-Protos Software Guide"
Last Web update on Mon Feb 13 10:27:44 1995