Anticipatory Behavior in Adaptive Learning Systems

From Brains to Individual and Social Behavior

  • Editors
  • Martin V. Butz
  • Olivier Sigaud
  • Giovanni Pezzulo
  • Gianluca Baldassarre

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4520)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 4520)

Table of contents

  1. Front Matter
  2. Introduction

    1. Martin V. Butz, Olivier Sigaud, Giovanni Pezzulo, Gianluca Baldassarre
      Pages 1-18
  3. Anticipatory Aspects in Brains, Language, and Cognition

  4. Individual Anticipatory Frameworks

    1. Giovanni Pezzulo, Gianluca Baldassarre, Martin V. Butz, Cristiano Castelfranchi, Joachim Hoffmann
      Pages 73-93
    2. Vladimir G. Red’ko, Konstantin V. Anokhin, Mikhail S. Burtsev, Alexander I. Manolov, Oleg P. Mosalov, Valentin A. Nepomnyashchikh et al.
      Pages 94-107
    3. Giovanni Pezzulo, Gianguglielmo Calvi
      Pages 128-152
  5. Learning Predictions and Anticipations

    1. Jérémy Fix, Julien Vitay, Nicolas P. Rougier
      Pages 170-188
    2. Stefano Zappacosta, Stefano Nolfi, Gianluca Baldassarre
      Pages 189-217
    3. Philippe Capdepuy, Daniel Polani, Chrystopher L. Nehaniv
      Pages 218-232
  6. Anticipatory Individual Behavior

  7. Anticipatory Social Behavior

About these proceedings

Introduction

Anticipatory behavior in adaptive learning systems is steadily gaining the - terest of scientists, although many researchers still do not explicitly consider the actual anticipatory capabilities of their systems. Similarly to the previous two workshops, the third workshop on anticipatory behavior in adaptive lea- ing systems (ABiALS 2006) has shown yet again that the similarities between di?erent anticipatory mechanisms in diverse cognitive systems are striking. The discussions and presentations on the workshop day of September 30th, 2006, during the Simulation of Adaptive Behavior Conference (SAB 2006), con?rmed that the investigations into anticipatory cognitive mechanisms for behavior and learning strongly overlap among researchers from various disciplines, including the whole interdisciplinary cognitive science area. Thus, further conceptualizations of anticipatory mechanisms seem man- tory. The introductory chapter of this volume therefore does not only provide an overview of the contributions included in this volume but also proposes a taxonomy of how anticipatory mechanisms can improve adaptive behavior and learning in cognitive systems. During the workshop it became clear that ant- ipations are involved in various cognitive processes that range from individual anticipatory mechanisms to social anticipatory behavior. This book re?ects this structure by ?rst providing neuroscienti?c as well as psychological evidence for anticipatorymechanismsinvolvedinbehavior,learning,language,andcognition. Next,individualpredictivecapabilitiesandanticipatorybehaviorcapabilitiesare investigated. Finally, anticipation relevant in social interaction is studied.

Keywords

Animat control system Navigation adaptive learning alife anticipation artificial life autonomous agents cognitive modeling collective behavior decision-making evolutionary computation learning robot robotics trust

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-74262-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-74261-6
  • Online ISBN 978-3-540-74262-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book