Systems That Learn

From Learning, Development, and Conceptual Change

Systems That Learn

An Introduction to Learning Theory for Cognitive and Computer Scientists

By Daniel N. Osherson, Michael Stob and Scott Weinstein

A mathematical framework for the study of learning in a variety of domains.

A Bradford Book

Overview

Author(s)

Praise

Summary

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.

Hardcover

ISBN: 9780262150309 205 pp. |

Paperback

$29.00 X ISBN: 9780262650243 205 pp. |

Endorsements

  • Systems That Learn is a book that has much to offer... Osherson, Stob, and Weinstein provide an interesting contrast to most of the learning work done either in psychology or artificial intelligence.

    Contemporary Psychology

  • This is highly original and interesting research. Systems That Learn is an important addition to human knowledge and an incipient classic.

    Steven Pinker

    MIT