
Systems That Learn
An Introduction to Learning Theory
MIT Press
2nd Edition
Published on 16. February 1999
Book
Hardback
329 pages
978-0-262-10077-9 (ISBN)
Description
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.
More details
Series
Edition
second edition
Language
English
Place of publication
Cambridge, Mass.
United States
Publishing group
MIT Press Ltd
Target group
College/higher education
Professional and scholarly
Interest Age: From 18 years
Edition type
Revised edition
Product notice
Cloth over boards
Dimensions
Height: 229 mm
Width: 185 mm
Thickness: 32 mm
Weight
794 gr
ISBN-13
978-0-262-10077-9 (9780262100779)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Daniel N. Osherson | etc.
Systems That Learn
Introduction to Learning Theory for Cognitive and Computer Scientists
Book
12/1986
MIT Press
€27.86
Article exhausted; check for reprint
Persons
Author
National University of Singapore
Ctr For Sci And Tech
University of New South Wales