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ORCIDArtificial Intelligence, Volume 40
Volume 40, Numbers 1-3, September 1989
- Jaime G. Carbonell:
Introduction: Paradigms for Machine Learning. 1-9 - John H. Gennari, Pat Langley, Douglas H. Fisher:
Models of Incremental Concept Formation. 11-61 - Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil
:
Explanation-Based Learning: A Problem Solving Perspective. 63-118 - Jack Mostow:
Design by Derivational Analogy: Issues in the Automated Replay of Design Plans. 119-184 - Geoffrey E. Hinton:
Connectionist Learning Procedures. 185-234 - Lashon B. Booker, David E. Goldberg, John H. Holland:
Classifier Systems and Genetic Algorithms. 235-282 - Pat Langley, Jan M. Zytkow:
Data-Driven Approaches to Empirical Discovery. 283-312 - John R. Anderson:
A Theory of the Origins of Human Knowledge. 313-351 - Roger C. Schank, David B. Leake:
Creativity and Learning in a Case-Based Explainer. 353-385
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