book announcements

[Andreas Birk]

Dear researchers interested in robot learning,

the book "Interdisciplinary Approaches to Robot Learning" edited by
John Demiris and Andreas Birk is now available. It is published and
distributed by World Scientific. At the same time, Springer decided to
offer an online version of the previously published book "Learning
Robots" edited by Andreas Birk and John Demiris. Information on both
books is given below.

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John Demiris, Andreas Birk (Eds.) 
Interdisciplinary Approaches to Robot Learning 
Robotics and Intelligent Systems Series, 
World Scientific, 2000 

ISBN 981-02-4320-0 
250 pp (approx.) 
US$56

book description:
      http://www.wspc.com/books/compsci/4436.htm

Contents: 
 Preface to Interdisciplinary Approaches to Robot Learning 
  (J Demiris & A Birk) 
 Bootstrapping the Developmental Process: The Filter Hypothesis 
  (L Berthouze) 
 Biomimetic Gaze Stabilization 
  (T Shibata & S Schaal) 
 Experiments and Models About Cognitive Map Learning for Motivated Navigation 
  (P Gaussier et al.) 
 Learning Selection of Action for Cortically-Inspired Robot Control 
  (H Frezza-Buet & F Alexandre) 
 Transferring Learned Knowledge in a Lifelong Learning Mobile Robot Agent 
  (J O'Sullivan) 
 Of Hummingbirds and Helicopters: An Algebraic Framework for Interdisciplinary
  Studies of Imitation and Its Applications 
  (C Nehaniv & K Dautenhahn) 
 Evolving Complex Visual Behaviours Using Genetic Programming and Shaping 
  (S Perkins & G M Hayes) 
 Preston: A System for the Evaluation of Behaviour Sequences 
  (M Wilson) 

Readership: Researchers and graduate students in robotics and machine
learning who are interested in interdisciplinary approaches to their
fields.

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Andreas Birk, John Demiris (Eds.) 
Learning Robots 
Proceedings of EWLR-6, Brighton, UK; 
Lecture Notes in Artificial Intelligence (LNAI) 1545, 
Springer, 1998 

ISBN 3-540-65480-1 
188 pp 
DM 50,- 

This book is now online via the Springer LINK service. This means that
subscribed parties (libraries, institutes, etc.) can access the
complete content of the book via the WWW. Access from hosts which are
not subscribed to the LINK service is limited to the abstracts of the
different chapters.

The online access of "Learning Robots" is located at
      
       http://link.springer.de/link/service/series/0558/tocs/t1545.htm  

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