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Learning, Development, and Conceptual Change
Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists
By
Daniel N. Osherson,
Daniel N. Osherson
Daniel N. Osherson is at MIT.
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Michael Stob,
Michael Stob
Michael Stob at Calvin College.
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Scott Weinstein
Scott Weinstein
Scott Weinstein is at MIT.
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The MIT Press
ISBN electronic:
9780262256742
Publication date:
1985
A mathematical framework for the study of learning in a variety of domains.
Systems That Learn presents a mathematical framework for the study of learning in a variety of domains. It provides the basic concepts and techniques of learning theory as well as a comprehensive account of what is currently known about a variety of learning paradigms.
Bradford Books imprint
Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists
By: Daniel N. Osherson, Michael Stob, Scott Weinstein
https://doi.org/10.7551/mitpress/6609.001.0001
ISBN (electronic): 9780262256742
Publisher: The MIT Press
Published: 1985
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Table of Contents
Availability Key
- Open Access
- Free
- Available
- No Access
Copyright
© 1990 MIT
All rights reserved. No part of this book may be reproduced in any
form by any electronic or mechanical means (including photocopying,
recording, or information storage and retrieval) without permission in
writing from the publisher.