The Challenge of Anticipation

A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems

  • Giovanni Pezzulo
  • Martin V. Butz
  • Cristiano Castelfranchi
  • Rino Falcone

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5225)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 5225)

Table of contents

  1. Front Matter
  2. Theory

    1. Front Matter
      Pages 1-1
    2. Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone
      Pages 3-22
    3. Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi
      Pages 23-43
    4. Martin V. Butz, Giovanni Pezzulo
      Pages 45-62
  3. Models, Architectures, and Applications

    1. Front Matter
      Pages 63-63
    2. Christian Balkenius, Alexander Förster, Birger Johansson, Vin Thorsteinsdottir
      Pages 65-83
    3. Martin V. Butz, Oliver Herbort, Giovanni Pezzulo
      Pages 85-113
    4. Carlos Martinho, Ana Paiva
      Pages 115-133
    5. Emiliano Lorini, Michele Piunti, Cristiano Castelfranchi, Rino Falcone, Maria Miceli
      Pages 135-160
    6. Dimitri Ognibene, Christian Balkenius, Gianluca Baldassarre
      Pages 161-184
    7. Boicho Kokinov, Maurice Grinberg, Georgi Petkov, Kiril Kiryazov
      Pages 185-213
    8. Maurice Grinberg, Emilian Lalev
      Pages 215-236
    9. Giovanni Pezzulo, Martin V. Butz, Cristiano Castelfranchi, Rino Falcone, Gianluca Baldassarre, Christian Balkenius et al.
      Pages 237-254
  4. Back Matter

About this book


This book proposes a unifying approach for the analysis and design of artificial cognitive systems: The Anticipatory Approach. In 11 coherent chapters, the authors of this State-of-the-Art Survey propose a foundational view of the importance of dealing with the future, of gaining some autonomy from current environmental data, and of endogenously generating sensorimotor and abstract representations. A meaningful taxonomy for anticipatory cognitive mechanisms is put forward, which distinguishes between the types of predictions and the different influences of these predictions on actual behavior and learning. Thus a new unifying perspective on cognitive systems is given.

The Anticipatory Approach described in this book will not only aid in the analysis of cognitive systems, but will also serve as an inspiration and guideline for the progressively more advanced and competent design of large, but modular, artificial cognitive systems.


Design Emotion agents anticipation atrificial cognition believability calculus cognition cognitive systems goal-oriented inverse model learning learningmodelling model prediction

Editors and affiliations

  • Giovanni Pezzulo
    • 1
  • Martin V. Butz
    • 2
  • Cristiano Castelfranchi
    • 1
  • Rino Falcone
    • 1
  1. 1.Istituto di Scienze e Tecnologie della Cognizione - CNRRomeItaly
  2. 2.Institut für Psychologie, Kognitive Psychologie IIIUniversität WürzburgWürzburgGermany

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-87701-1
  • Online ISBN 978-3-540-87702-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book