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ORCIDAnticipatory Behavior in Adaptive Learning Systems 2003
- Martin V. Butz, Olivier Sigaud, Pierre Gérard:
Anticipatory Behavior in Adaptive Learning Systems, Foundations, Theories, and Systems. Lecture Notes in Computer Science 2684, Springer 2003, ISBN 3-540-40429-5
Introduction
- Martin V. 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 V. 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 V. Butz, David E. Goldberg:
Generalized State Values in an Anticipatory Learning Classifier System. 282-301
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