Skip to main content

Adaptivity and Learning

An Interdisciplinary Debate

  • Book
  • © 2003

Overview

  • There is no direct competition to this book which excels in the interdisciplinary case by case study of the various concepts of learning

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (24 chapters)

  1. Adaptivity and Learning — an Interdisciplinary Debate

  2. Physics Approach to Learning — Neural Networks and Statistics

  3. Mathematical Models of Learning

  4. Learning by Experience

Keywords

About this book

Adaptivity and learning have in recent decades become a common concern of scientific disciplines. These issues have arisen in mathematics, physics, biology, informatics, economics, and other fields more or less simultaneously. The aim of this publication is the interdisciplinary discourse on the phenomenon of learning and adaptivity. Different perspectives are presented and compared to find fruitful concepts for the disciplines involved. The authors select problems showing representative traits concerning the frame up, the methods and the achievements rather than to present extended overviews.

Editors and Affiliations

  • Institut für Theoretische Physik, Universität Heidelberg, Heidelberg, Germany

    Reimer Kühn, Ion-Olimpiu Stamatescu

  • Neurobiologie, Freie Universität Berlin, Berlin, Germany

    Randolf Menzel

  • Institut für Logik, Komplexität und Deduktionssysteme, Universität Karlsruhe, Karlsruhe, Germany

    Wolfram Menzel

  • FESt, Heidelberg, Germany

    Ulrich Ratsch, Ion-Olimpiu Stamatescu

  • FB Informatik, University of Kaiserslautern, Kaiserslautern, Germany

    Michael M. Richter

Bibliographic Information

  • Book Title: Adaptivity and Learning

  • Book Subtitle: An Interdisciplinary Debate

  • Editors: Reimer Kühn, Randolf Menzel, Wolfram Menzel, Ulrich Ratsch, Michael M. Richter, Ion-Olimpiu Stamatescu

  • DOI: https://doi.org/10.1007/978-3-662-05594-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2003

  • Hardcover ISBN: 978-3-540-00091-4Published: 20 May 2003

  • Softcover ISBN: 978-3-642-05510-2Published: 16 November 2010

  • eBook ISBN: 978-3-662-05594-6Published: 29 June 2013

  • Edition Number: 1

  • Number of Pages: XII, 403

  • Topics: Physics, general, Complex Systems, Control, Robotics, Mechatronics, Artificial Intelligence, Philosophy, general, Evolutionary Biology

Publish with us