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CL-Protos: Knowledge Acquisition for Heuristic Classification Tasks

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 tasks. 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.

Version: 15-FEB-90 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 Ray Bareiss Erik Eilerts Dan Dvorak Keywords: Authors!Bareiss, Authors!Duran, Authors!Dvorak, Authors!Eilerts, Authors!Kroger, Authors!Porter, Authors!Swerdlin, Authors!Tso, CL-PROTOS, Case-Based Reasoning, Lisp!Code, PROTOS, Reasoning!Case-Based Reasoning References: 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"
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