Anticipatory Behavior in Adaptive Learning
      Systems
Butz, M. V., University of Illinois, Urbana, IL, USA and University of Würzburg, Germany; Sigaud, O., AnimatLab, Paris, France; Gérard, P., AnimatLab, Paris, France (Eds.)

Anticipatory Behavior in Adaptive Learning Systems

Foundations, Theories, and Systems

2003, 303 p. Also available online. Softcover
3-540-40429-5
Recommended Retail Price: EUR 45.00 *

The interdisciplinary topic of anticipation, attracting attention from computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work.

First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.

Keywords: adaptive learning, adaptive behavior, adaptation, adaptive systems, anticipatory learning, reinforcement learning, algorithmic learning, machine learning, intelligent robotics, robot learning, preventive state anticipation

Table of Contents

Introduction
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior ...1
Martin V. Butz (University of Illinois at Urbana-Champaign, USA), Olivier Sigaud, and Pierre Gérard (Université de Paris VI, France)
Philosophical Considerations
Whose Anticipations? ...11
Alexander Riegler (VUB, CLEA, Brussels, Belgium)
Not Everything We Know We Learned ...23
Mihai Nadin (University of Wuppertal, Germany)
From Cognitive Psychology to Cognitive Systems
Anticipatory Behavioral Control ...44
Joachim Hoffmann (University of Würzburg, Germany)
Towards a Four Factor Theory of Anticipatory Learning ...66
Mark Witkowski (Imperial College, London, UK)
Formulations, Distinctions, and Characteristics
Internal Models and Anticipations in Adaptive Learning Systems ...86
Martin V. Butz (University of Illinois at Urbana-Champaign, USA), Olivier Sigaud, Pierre Géard (Université de Paris VI, France)
Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations ...110
Daniel M. Dubois (University of Liège, Belgium)
Anticipation Driven Artificial Personality: Building on Lewin and Loehlin ...133
Stevo Bozinovski (South Carolina State University, USA)
A Framework for Preventive State Anticipation ...151
Paul Davidsson (Blekinge Institute of Technology, Ronneby, Sweden)
Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment ...167
Jun Tani (Brain Science Institute, RIKEN, Saitama, Japan)
Systems, Evaluations, and Applications
Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot ...179
Gianluca Baldassarre (National Research Council of Italy, Rome, Italy)
Sensory Anticipation for Autonomous Selection of Robot Landmarks ...201
Jason Fleischer, Stephen Marsland, and Jonathan Shapiro (University of Manchester,UK)
Representing Robot-Environment Interactions by Dynamical Features of Neuro-Controllers ...222
Martin Hülse, Keyan Zahedi, and Frank Pasemann (Fraunhofer Institute for Autonomous Intelligent Systems (AIS))
Anticipatory Guidance of Plot ...243
Jarmo Laaksolahti, and Magnus Boman (Swedish Institute of Computer Science, Kista, Sweden)
Exploring the Value of Prediction in an Artificial Stock Market ...262
Bruce Edmonds (Manchester Metropolitan University, UK)
Generalized State Values in an Anticipatory Learning Classifier System ...282
Martin V. Butz and David E. Goldberg (University of Illinois at Urbana-Champaign, USA)
Author Index ...303

Foreword by Ernst von Glasersfeld, Preface, Organization, Table of Contents, and all Abstracts in .pdf format

Further information from the publisher: Series: Lecture Notes in Computer Science. Vol.. 2684



...last modified: 23 Oct. 2006