Concept formation
Subtitle: knowledge and experience in unsupervised learning
By: edited by Douglas H. Fisher, Jr., Michael J. Pazzani, and Pat Langley.
Contributors: Fisher, Douglas H.; Pazzani, Michael John, 1958-; Langley, Pat.
Publisher: Morgan Kaufmann Publishers
Published: 1991
Place of publication: San Mateo, Calif
Language: eng
Number of pages: 472
Subjects: Machine learning.; Concepts.
Description: Pat Langley is a research scientist at NASA Ames Research Center, where he carries out research on machine learning and intelligent agents. Before coming to NASA, Dr. Langley was an Associate Professor of Computer Science at the University of California, Irvine, and a Research Scientist at Carnegie Mellon University, where he received his PhD in cognitive psychology. Dr. Langley has published papers on a variety of topics including scientific discovery, concept formation, heuristics learning, motor learning, and language acquisition. He is co-author or editor of three other books. Dr. Langley serves as an editor of the journal Machine Learning and as director of the Institute for the Study of Learning and Expertise.
Notes: Includes bibliographical references and index.
Table of contents: title: I. Inductive Approaches to Concept Formation. 1. Computational Models of Concept Learning / Doug Fisher and Michael Pazzani. 2. An Incremental Bayesian Algorithm for Categorization / John R. Anderson and Michael Matessa. 3. Representational Specificity and Concept Learning / Joel D. Martin and Dorrit Billman. 4. Discrimination Net Models of Concept Formation / Howard B. Richman. 5. Concept Formation in Structured Domains / Kevin Thompson and Pat Langley; title: II. Knowledge and Experience in Concept Formation. 6. Theory-Guided Concept Formation / Doug Fisher and Michael Pazzani. 7. Explanation-Based Learning as Concept Formation / Raymond J. Mooney. 8. Some Influences of Instance Comparisons on Concept Formation / Brian H. Ross and Thomas L. Spalding. 9. Harpoons and Long Sticks: The Interaction of Theory and Similarity in Rule Induction / Edward J. Wisniewski and Douglas L. Medin. 10. Concept Formation over Problem-Solving Experience / Jungsoon Yoo and Doug Fisher; title: III. The Utility of Concept Formation in Intelligent Behavior. 11. Concept Formation in Context / Doug Fisher and Michael Pazzani. 12. The Formation and Use of Abstract Concepts in Design / Yoram Reich and Steven J. Fenves. 13. Learning to Recognize Movements / Wayne Iba and John H. Gennari. 14. Representation Generation in an Exploratory Learning System / Paul D. Scott and Shaul Markovitch. 15. A Computational Account of Children's Learning About Number Conservation / Tony Simon, Allen Newell and David Klahr.