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.
"synopsis" may belong to another edition of this title.
Sanjay Jain is Senior Lecturer in the School of Computing, National University of Singapore. Daniel Osherson is the Autrey Professor of Psychology at Rice University. James S. Royer is Professor in the Department of Electrical Engineering and Computer Science, Syracuse University. Arun Sharma is Associate Professor in the School of Computer Science and Engineering, University of New South Wales.
"About this title" may belong to another edition of this title.
US$ 10.81 shipping from United Kingdom to U.S.A.
Destination, rates & speedsSeller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: Good. Ships from the UK. Used book that is in clean, average condition without any missing pages. Seller Inventory # 45314883-6
Quantity: 1 available
Seller: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germany
Hardcover-Großformat. Condition: Gut. 2. Auflage;. 317 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 810. Seller Inventory # 2239104
Quantity: 1 available