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Anticipatory Behavior in Adaptive Learning Systems

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Cover of 'Anticipatory Behavior in Adaptive Learning Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior
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    Chapter 2 Whose Anticipations?
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    Chapter 3 Not Everything We Know We Learned
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    Chapter 4 Anticipatory Behavioral Control
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    Chapter 5 Towards a Four Factor Theory of Anticipatory Learning
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    Chapter 6 Internal Models and Anticipations in Adaptive Learning Systems
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    Chapter 7 Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations
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    Chapter 8 Anticipation Driven Artificial Personality: Building on Lewin and Loehlin
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    Chapter 9 A Framework for Preventive State Anticipation
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    Chapter 10 Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment
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    Chapter 11 Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot
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    Chapter 12 Sensory Anticipation for Autonomous Selection of Robot Landmarks
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    Chapter 13 Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers
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    Chapter 14 Anticipatory Guidance of Plot
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    Chapter 15 Exploring the Value of Prediction in an Artificial Stock Market
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    Chapter 16 Generalized State Values in an Anticipatory Learning Classifier System
Attention for Chapter 8: Anticipation Driven Artificial Personality: Building on Lewin and Loehlin
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Chapter title
Anticipation Driven Artificial Personality: Building on Lewin and Loehlin
Chapter number 8
Book title
Anticipatory Behavior in Adaptive Learning Systems
Published by
Springer, Berlin, Heidelberg, January 2003
DOI 10.1007/978-3-540-45002-3_8
Book ISBNs
978-3-54-040429-3, 978-3-54-045002-3
Authors

Stevo Bozinovski, Bozinovski, Stevo

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