Systems That Learn, Second Edition
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.
—Rusins Freivalds, University of Latvia
—Clark Glymour, Alumni University Professor, Carnegie Mellon University; and Valtz Family Professor, University of California
—Scott Weinstein, Department of Philosophy, University of Pennsylvania
—Rolf Wiehagen, Professor of Computer Science, University of Kaiserslautern
—John Case, Computer and Information Sciences Department, University of Delaware