Systems That Learn: An Introduction to Learning Theory for Cognitive and Computer Scientists

by Michael Stob, Scott Weinstein, Daniel N. Osherson

Book Overview

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. Daniel N. Osherson and Scott Weinstein are at MIT, and Michael Stob at Calvin College.

• Format: Hardcover
• Language: English
• ISBN: 0262150301
• ISBN13: 9780262150309
• Release Date: January 1986
• Publisher: MIT Press (MA)
• Length: 205 Pages
• Weight: 0.65 lbs.