Systems That Learn: An Introduction to Learning Theory (Learning, Development, and Conceptual Change) - Tapa dura
Sinopsis
Formal learning theory is one of several mathematical approaches to the study of intelligent adaptation to the environment. The analysis developed in this book is based on a number theoretical approach to learning and uses the tools of recursive-function theory to understand how learners come to an accurate view of reality. This revised and expanded edition of a successful text provides a comprehensive, self-contained introduction to the concepts and techniques of the theory. Exercises throughout the text provide experience in the use of computational arguments to prove facts about learning.
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Acerca de los autores
Daniel N. Osherson is at MIT.
James Royer is Professor in the Department of Electrical Engineering and Computer Science at Syracuse University.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change)
Publicado por
Bradford Books, 1999
ISBN 10: 0262100770
ISBN 13: 9780262100779
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Librería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G0262100770I4N01
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Systems That Learn - 2nd Edition: An Introduction to Learning Theory (Learning, Development, and Conceptual Change)
Publicado por
Bradford Books, 1999
ISBN 10: 0262100770
ISBN 13: 9780262100779
Antiguo o usado
Tapa dura
Librería: KCMidwestbooks, Leawood, KS, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Near Fine hardcover copy in publisher's illustrated boards. Mild rubbing and light shelf wear to extremities, including slight softening at spine ends. Binding remains firm and square. Interior clean and bright with no ownership markings noted. An attractive and well-preserved copy of this important introduction to computational learning theory, artificial intelligence, and formal models of learning. Please review photographs carefully, as they form part of the description. Returns accepted within the AbeBooks 30-day return window packed and shipped in a box. Shipped via USPS with tracking provided. International shipping available. Additional photographs available upon request. Sci 1a. Nº de ref. del artículo: ABE-1778785904637
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Cantidad disponible: 1 disponibles