Editors:
Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 2684)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (16 chapters)
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Front Matter
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Philosophical Considerations
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From Cognitive Psychology to Cognitive Systems
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Formulations, Distinctions, and Characteristics
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Systems, Evaluations, and Applications
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Back Matter
Keywords
- Embodied Cognition
- Sensor
- adaptation
- adaptive behavior
- adaptive learning
- algorithmic learning
- anticipatory learning
- autonom
- cognitive psychology
- learning
- machine learning
- neural network
- preventive state anticipation
- reinforcement learning
- robot
- algorithm analysis and problem complexity
Editors and Affiliations
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Department of Psychology, University of Würzburg, Würzburg, Germany
Martin V. Butz
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Animat Lab, University Paris VI, Paris, France
Olivier Sigaud
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ADAge, LIPN, Univ. de Paris-Nord, Villetaneuse, France
Pierre Gérard
Bibliographic Information
Book Title: Anticipatory Behavior in Adaptive Learning Systems
Book Subtitle: Foundations, Theories, and Systems
Editors: Martin V. Butz, Olivier Sigaud, Pierre Gérard
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/b11711
Publisher: Springer Berlin, Heidelberg
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 2003
Softcover ISBN: 978-3-540-40429-3Published: 09 July 2003
eBook ISBN: 978-3-540-45002-3Published: 21 January 2004
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: X, 305
Topics: Artificial Intelligence, Control, Robotics, Automation, Theory of Computation, Algorithms, Computer Application in Social and Behavioral Sciences