Anticipatory Behavior in Adaptive Learning Systems Foundations, Theories, and Systems /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Butz, Martin V. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sigaud, Olivier (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Gérard, Pierre (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2684
• Θέματα: Artificial intelligence.; Robotics.; Automation.; Computers.; Algorithms.; Application software.; Control engineering.; Mechatronics.; Artificial Intelligence.; Robotics and Automation.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Computer Appl. in Social and Behavioral Sciences.; Control, Robotics, Mechatronics.

Πίνακας περιεχομένων:

• 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.