Anticipatory Behavior in Adaptive Learning Systems

Foundations, Theories, and Systems

  • Martin V. Butz
  • Olivier Sigaud
  • Pierre Gérard

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2684)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 2684)

Table of contents

  1. Front Matter
  2. Introduction

    1. Martin V. Butz, Olivier Sigaud, Pierre Gérard
      Pages 1-10
  3. Philosophical Considerations

    1. Alexander Riegler
      Pages 11-22
    2. Mihai Nadin
      Pages 23-43
  4. From Cognitive Psychology to Cognitive Systems

    1. Joachim Hoffmann
      Pages 44-65
  5. Formulations, Distinctions, and Characteristics

  6. Systems, Evaluations, and Applications

    1. Jason Fleischer, Stephen Marsland, Jonathan Shapiro
      Pages 201-221
    2. Martin Hülse, Keyan Zahedi, Frank Pasemann
      Pages 222-242
    3. Jarmo Laaksolahti, Magnus Boman
      Pages 243-261
    4. Martin V. Butz, David E. Goldberg
      Pages 282-301
  7. Back Matter

About this book

Keywords

Embodied Cognition Sensor adaptation adaptive behavior adaptive learning algorithmic learning anticipatory learning autonom cognitive psychology learning machine learning neural network preventive state anticipation reinforcement learning robot

Editors and affiliations

  • Martin V. Butz
    • 1
  • Olivier Sigaud
    • 2
  • Pierre Gérard
    • 3
  1. 1.Department of PsychologyUniversity of WürzburgWürzburgGermany
  2. 2.Animat LabUniversity Paris VIParisFrance
  3. 3.ADAge, LIPN, Univ. de Paris-NordVilletaneuseFrance

Bibliographic information

  • DOI https://doi.org/10.1007/b11711
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-40429-3
  • Online ISBN 978-3-540-45002-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book