Anticipatory Behavior in Adaptive Learning Systems

From Psychological Theories to Artificial Cognitive Systems

  • Giovanni Pezzulo
  • Martin V. Butz
  • Olivier Sigaud
  • Gianluca Baldassarre
Conference proceedings ABiALS 2008
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5499)

Table of contents

  1. Front Matter
  2. Introduction

    1. Giovanni Pezzulo, Martin V. Butz, Olivier Sigaud, Gianluca Baldassarre
      Pages 1-9
  3. Anticipation in Psychology: Focus on the Ideomotor View

  4. Theoretical and Review Contributions

  5. Anticipation and Dynamical Systems

    1. Michela Ponticorvo, Domenico Parisi, Orazio Miglino
      Pages 115-131
    2. Alberto Montebelli, Robert Lowe, Tom Ziemke
      Pages 132-151
  6. Computational Modelling of Psychological Processes in the Individual and Social Domains

    1. Johannes Lohmann, Oliver Herbort, Annika Wagener, Andrea Kiesel
      Pages 170-187
    2. Janneke Lommertzen, Eliana Costa e Silva, Raymond H. Cuijpers, Ruud G. J. Meulenbroek
      Pages 188-208
  7. Behavioral and Cognitive Capabilities Based on Anticipation

    1. Camille Salaün, Vincent Padois, Olivier Sigaud
      Pages 229-246
    2. Irene Markelić, Tomas Kulviĉius, Minija Tamosiunaite, Florentin Wörgötter
      Pages 267-282
  8. Computational Frameworks and Algorithms for Anticipation, and Their Evaluation

    1. Birger Johansson, Christian Balkenius
      Pages 283-300
    2. Matthias Rungger, Hao Ding, Olaf Stursberg
      Pages 301-320
    3. Olivier Sigaud, Martin V. Butz, Olga Kozlova, Christophe Meyer
      Pages 321-333
  9. Back Matter

About these proceedings

Introduction

Anticipatory behavior in adaptive learning systems continues to attract the attention of researchers in many areas, including cognitive systems, neuroscience, psychology, and machine learning.

This book constitutes the thoroughly refereed post-workshop proceedings of the 4th International Workshop on Anticipatory Behavior in Adaptive Learning Systems, ABiALS 2008, held in Munich, Germany, in June 2008, in collaboration with 5th the six-monthly meeting of euCognition, 'The Role of Anticipation in Cognition'.

The 18 revised full papers presented were carefully selected during two rounds of reviewing and improvement for inclusion in the book. The introductory chapter of this state-of-the-art survey not only provides an overview of the contributions included in this volume but also discusses the current various terminology employed in the field and relates it to the various system approaches. The papers are organized in topical sections on anticipation in psychology with a focus on the ideomotor view; theoretical and review contributions; anticipation and dynamical systems; computational modeling of psychological processes in the individual and social domains; behavioral and cognitive capabilities based on anticipation; and computational frameworks and algorithms for anticipation, and their evaluation.

Keywords

algorithms cognition cognitive systems dynamical systems learning machine learning modeling

Editors and affiliations

  • Giovanni Pezzulo
    • 1
  • Martin V. Butz
    • 2
  • Olivier Sigaud
    • 3
  • Gianluca Baldassarre
    • 4
  1. 1.Consiglio Nazionale delle Ricerche,Istituto di Linguistica Computazionale “Antonio Zampolli”, Via Giuseppe Moruzzi, 1 - 56124 Pisa, Italy and Consiglio Nazionale delle Ricerche,Istituto di Scienze e Tecnologie della Cognizione, Via San Martino della BaItaly
  2. 2.COBOSLAB – Cognitive Bodyspaces: Learning and Behavior, Department of Psychology IIIUniversity of WürzburgWürzburgGermany
  3. 3.Institut des Systèmes Intelligents et de Robotique (CNRS UMR 7222)Université Pierre et Marie CurieParis Cedex 05France
  4. 4.Consiglio Nazionale delle Ricerche, Istituto di Scienze e Tecnologie della Cognizione, Laboratory of Computational Embodied NeuroscienceRomaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-02565-5
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-02564-8
  • Online ISBN 978-3-642-02565-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book