Anticipatory Behavior in Adaptive Learning Systems Foundations, Theories, and Systems /
Anticipatory Behavior in Adaptive Learning Systems Foundations, Theories, and Systems / [electronic resource] :
edited by Martin V. Butz, Olivier Sigaud, Pierre Gérard.
- 1st ed. 2003.
- X, 303 p. online resource.
- Lecture Notes in Artificial Intelligence, 2684 2945-9141 ; .
- Lecture Notes in Artificial Intelligence, 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.
9783540450023
10.1007/b11711 doi
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Computer science.
Algorithms.
Social sciences--Data processing.
Artificial Intelligence.
Control, Robotics, Automation.
Theory of Computation.
Algorithms.
Computer Application in Social and Behavioral Sciences.
Q334-342 TA347.A78
006.3
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.
9783540450023
10.1007/b11711 doi
Artificial intelligence.
Control engineering.
Robotics.
Automation.
Computer science.
Algorithms.
Social sciences--Data processing.
Artificial Intelligence.
Control, Robotics, Automation.
Theory of Computation.
Algorithms.
Computer Application in Social and Behavioral Sciences.
Q334-342 TA347.A78
006.3