Anticipatory Behavior in Adaptive Learning Systems [electronic resource] : Foundations, Theories, and Systems /
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.
Main Authors: | , , , |
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Format: | Texto biblioteca |
Language: | eng |
Published: |
Berlin, Heidelberg : Springer Berlin Heidelberg,
2003
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Subjects: | Computer science., Computers., Algorithms., Artificial intelligence., Application software., Control engineering., Robotics., Mechatronics., Automation., Computer Science., Artificial Intelligence (incl. Robotics)., Robotics and Automation., Computation by Abstract Devices., Algorithm Analysis and Problem Complexity., Computer Appl. in Social and Behavioral Sciences., Control, Robotics, Mechatronics., |
Online Access: | http://dx.doi.org/10.1007/b11711 |
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