Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems: Lecture Notes in Computer Science, cartea 2684

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.

Includes supplementary material: sn.pub/extras