The interdisciplinary topic of anticipation, attracting attention from computer scientists, psychologists, philosophers, neuroscientists, and biologists is a rather new and often misunderstood matter of research. This book attempts to establish anticipation as a research topic and encourage further research and development work.
First, the book presents philosophical thoughts and concepts to stimulate the reader's concern about the topic. Fundamental cognitive psychology experiments then confirm the existence of anticipatory behavior in animals and humans and outline a first framework of anticipatory learning and behavior. Next, several distinctions and frameworks of anticipatory processes are discussed, including first implementations of these concepts. Finally, several anticipatory systems and studies on anticipatory behavior are presented.
Author(s): Martin V. Butz, Olivier Sigaud, Pierre Gérard (auth.), Martin V. Butz, Olivier Sigaud, Pierre Gérard (eds.)
Series: Lecture Notes in Computer Science 2684 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2003
Language: English
Pages: 303
Tags: Artificial Intelligence (incl. Robotics); Computation by Abstract Devices; Algorithm Analysis and Problem Complexity; Computer Appl. in Social and Behavioral Sciences; Control , Robotics, Mechatronics
Front Matter....Pages -
Anticipatory Behavior: Exploiting Knowledge About the Future to Improve Current Behavior....Pages 1-10
Whose Anticipations?....Pages 11-22
Not Everything We Know We Learned....Pages 23-43
Anticipatory Behavioral Control....Pages 44-65
Towards a Four Factor Theory of Anticipatory Learning....Pages 66-85
Internal Models and Anticipations in Adaptive Learning Systems....Pages 86-109
Mathematical Foundations of Discrete and Functional Systems with Strong and Weak Anticipations....Pages 110-132
Anticipation Driven Artificial Personality: Building on Lewin and Loehlin....Pages 133-150
A Framework for Preventive State Anticipation....Pages 151-166
Symbols and Dynamics in Embodied Cognition: Revisiting a Robot Experiment....Pages 167-178
Forward and Bidirectional Planning Based on Reinforcement Learning and Neural Networks in a Simulated Robot....Pages 179-200
Sensory Anticipation for Autonomous Selection of Robot Landmarks....Pages 201-221
Representing Robot-Environment Interactions by Dynamical Features of Neuro-controllers....Pages 222-242
Anticipatory Guidance of Plot....Pages 243-261
Exploring the Value of Prediction in an Artificial Stock Market....Pages 262-281
Generalized State Values in an Anticipatory Learning Classifier System....Pages 282-301
Back Matter....Pages -
