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Feb 1999
ISBN 0262100770
317 pp.
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Systems That Learn - 2nd Edition
Sanjay Jain , Daniel Osherson , James S. Royer and Arun Sharma

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.

Table of Contents
 SERIES FOREWORD
 PREFACE
1 Introduction
2 Formalities
3 Identification
4 Identification by Computable Scientists
5 Strategies for Learning
6 Criteria of Learning
7 Inference of Approximations
8 Environments
9 Team and Probabilistic Learning
10 Learning with Additional Information
11 Learning with Oracles
12 Complexity Issues in Identification
13 Beyond Identification by Enumeration
 BIBLIOGRAPHY
 NOTATION INDEX
 AUTHOR AND SUBJECT INDEX
 
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