INFANT neural controller for adaptive sensory-motor coordination
Neural Networks
Reinforcement learning architectures for animats
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Neural Computation
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The mirror system, imitation, and the evolution of language
Imitation in animals and artifacts
Recent Advances in Hierarchical Reinforcement Learning
Discrete Event Dynamic Systems
Learning precise timing with lstm recurrent networks
The Journal of Machine Learning Research
Using relative novelty to identify useful temporal abstractions in reinforcement learning
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Neural Networks - 2005 Special issue: IJCNN 2005
MOSAIC Model for Sensorimotor Learning and Control
Neural Computation
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
A connectionist model may shed light on neural mechanisms for visually guided reaching
Journal of Cognitive Neuroscience
Neural Correlates of Anticipation in Cerebellum, Basal Ganglia, and Hippocampus
Anticipatory Behavior in Adaptive Learning Systems
The Role of Anticipation in the Emergence of Language
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Schema-Based Design and the AKIRA Schema Language: An Overview
Anticipatory Behavior in Adaptive Learning Systems
Training and Application of a Visual Forward Model for a Robot Camera Head
Anticipatory Behavior in Adaptive Learning Systems
A Distributed Computational Model of Spatial Memory Anticipation During a Visual Search Task
Anticipatory Behavior in Adaptive Learning Systems
A Testbed for Neural-Network Models Capable of Integrating Information in Time
Anticipatory Behavior in Adaptive Learning Systems
Construction of an Internal Predictive Model by Event Anticipation
Anticipatory Behavior in Adaptive Learning Systems
The Interplay of Analogy-Making with Active Vision and Motor Control in Anticipatory Robots
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipating Rewards in Continuous Time and Space: A Case Study in Developmental Robotics
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
An Anticipatory Trust Model for Open Distributed Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Alignment Mechanisms for Behavioral Learning in Multi Agent Systems
Anticipatory Behavior in Adaptive Learning Systems
Anticipatory Behavior in Adaptive Learning Systems
An Experimental Study of Anticipation in Simple Robot Navigation
Anticipatory Behavior in Adaptive Learning Systems
Sequence labelling in structured domains with hierarchical recurrent neural networks
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Integration of a prediction mechanism with a sensor model: an anticipatory Bayes filter
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
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Research on anticipatory behavior in adaptive learning systems continues to gain more recognition and appreciation in various research disciplines. This book provides an overarching view on anticipatory mechanisms in cognition, learning, and behavior. It connects the knowledge from cognitive psychology, neuroscience, and linguistics with that of artificial intelligence, machine learning, cognitive robotics, and others. This introduction offers an overview over the contributions in this volume highlighting their interconnections and interrelations from an anticipatory behavior perspective. We first clarify the main foci of anticipatory behavior research. Next, we present a taxonomy of how anticipatory mechanisms may be beneficially applied in cognitive systems. With relation to the taxonomy, we then give an overview over the book contributions. The first chapters provide surveys on currently known anticipatory brain mechanisms, anticipatory mechanisms in increasingly complex natural languages, and an intriguing challenge for artificial cognitive systems. Next, conceptualizations of anticipatory processes inspired by cognitive mechanisms are provided. The conceptualizations lead to individual, predictive challenges in vision and processing of event correlations over time. Next, anticipatory mechanisms in individual decision making and behavioral execution are studied. Finally, the book offers systems and conceptualizations of anticipatory processes related to social interaction.