Anticipatory Behavior in Adaptive Learning Systems 2003

Introduction

• Martin Butz, Olivier Sigaud, Pierre Gérard:
  Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior. 1-10
  

Philosophical Considerations

• Alexander Riegler:
  Whose Anticipations? 11-22
  
• Mihai Nadin:
  Not Everything We Know We Learned. 23-43
  

From Cognitive Psychology to Cognitive Systems

• Joachim Hoffmann:
  Anticipatory Behavioral Control. 44-65
  
• Mark Witkowski:
  Towards a Four Factor Theory of Anticipatory Learning. 66-85
  

Formulations, Distinctions, and Characteristics

• Martin Butz, Olivier Sigaud, Pierre Gérard:
  Internal Models and Anticipations in Adaptive Learning Systems. 86-109
  
• Daniel M. Dubois:
  Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations. 110-132
  
• Stevo Bozinovski:
  Anticipation Driven Artificial Personality: Building on Lewin and Loehlin. 133-150
  
• Paul Davidsson:
  A Framework for Preventive State Anticipation. 151-166
  
• Jun Tani:
  Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment. 167-178
  

Systems, Evaluations, and Applications

• Gianluca Baldassarre:
  Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot. 179-200
  
• Jason Fleischer, Stephen Marsland, Jonathan Shapiro:
  Sensory Anticipation for Autonomous Selection of Robot Landmarks. 201-221
  
• Martin Hülse, Keyan Zahedi, Frank Pasemann:
  Representing Robot-Environment Interactions by Dynamical Features of Neur-controllers. 222-242
  
• Jarmo Laaksolahti, Magnus Boman:
  Anticipatory Guidance of Plot. 243-261
  
• Bruce Edmonds:
  Exploring the Value of Prediction in an Artificial Stock Market. 262-281
  
• Martin Butz, David E. Goldberg:
  Generalized State Values in an Anticipatory Learning Classifier System. 282-301
  

Last update Tue May 22 22:01:32 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page