Anticipatory Behavior in Adaptive Learning Systems Foundations, Theories, and Systems / edited by Martin V. Butz, Olivier Sigaud, Pierre Gérard.

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Butz, Martin V. (Editor), Sigaud, Olivier (Editor), Gérard, Pierre (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
Edition:1st ed. 2003.
Series:Lecture Notes in Artificial Intelligence ; 2684
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.

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505 0 |a Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior -- Philosophical Considerations -- Whose Anticipations? -- Not Everything We Know We Learned -- From Cognitive Psychology to Cognitive Systems -- Anticipatory Behavioral Control -- Towards a Four Factor Theory of Anticipatory Learning -- Formulations, Distinctions, and Characteristics -- Internal Models and Anticipations in Adaptive Learning Systems -- Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations -- Anticipation Driven Artificial Personality: Building on Lewin and Loehlin -- A Framework for Preventive State Anticipation -- Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment -- Systems, Evaluations, and Applications -- Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot -- Sensory Anticipation for Autonomous Selection of Robot Landmarks -- Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers -- Anticipatory Guidance of Plot -- Exploring the Value of Prediction in an Artificial Stock Market -- Generalized State Values in an Anticipatory Learning Classifier System. 
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