Anticipatory behavior in adaptive learning systems : foundations, theories, and systems

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Bibliographische Detailangaben
1. Verfasser: Butz, Martin V., 1975-
Weitere Verfasser: Gérard, Pierre, 1973-...., auteur en informatique (Verlagsleitung), Sigaud, Olivier, 1968-...., enseignant-chercheur en informatique (Verlagsleitung)
Format: Livre numérique
Sprache:Anglais
Veröffentlicht: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Schriftenreihe:Lecture notes in computer science. Lecture notes in artificial intelligence 2684
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Edition sous un autre format:• Anticipatory behavior in adaptive learning systems, foundations, theories, and systems, Martin V. Butz, Olivier Sigaud, Pierre Gérard (eds.), Berlin, Springer, 2003, 1 vol. (X-301 p.), Lecture notes in computer science, 3-540-40429-5
• Anticipatory Behavior in Adaptive Learning Systems, Texte imprimé, 9783662204177
Inhaltsangabe:
  • 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.