The Induction of Dynamical Recognizers
Machine Learning - Connectionist approaches to language learning
Multiple paired forward and inverse models for motor control
Neural Networks - Special issue on neural control and robotics: biology and technology
Neural Networks - Special issue on organisation of computation in brain-like systems
Imitation in animals and artifacts
Imitation in animals and artifacts
Imitation: a means to enhance learning of a synthetic protolanguage in autonomous robots
Imitation in animals and artifacts
Learning Semantic Combinatoriality from the Interaction between Linguistic and Behavioral Processes
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
A dynamical systems perspective on agent-environment interaction
Artificial Intelligence
Learning and communication via imitation: an autonomous robot perspective
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Self-organization of behavioral primitives as multiple attractor dynamics: A robot experiment
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Incremental learning of gestures by imitation in a humanoid robot
Proceedings of the ACM/IEEE international conference on Human-robot interaction
Toward Spinozist Robotics: Exploring the Minimal Dynamics of Behavioral Preference
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Computational model of role reversal imitation through continuous human-robot interaction
Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction
On Cognition as Dynamical Coupling: An Analysis of Behavioral Attractor Dynamics
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hierarchical Co-evolution of Cooperating Agents Acting in the Brain-Arena
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems
Anticipatory Behavior in Adaptive Learning Systems
Generating Complex Connectivity Structures for Large-Scale Neural Models
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
The Cognitive Body: From Dynamic Modulation to Anticipation
Anticipatory Behavior in Adaptive Learning Systems
Intelligence Dynamics: a concept and preliminary experiments for open-ended learning agents
Autonomous Agents and Multi-Agent Systems
Online knowledge acquisition and general problem solving in a real world by humanoid robots
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
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This study presents experiments on the learning of object handling behaviors by a small humanoid robot using a dynamic neural network model, the recurrent neural network with parametric bias (RNNPB). The first experiment showed that after the robot learned different types of ball handling behaviors using human direct teaching, the robot was able to generate adequate ball handling motor sequences situated to the relative position between the robot's hands and the ball. The same scheme was applied to a block handling learning task where it was shown that the robot can switch among learned different block handling sequences, situated to the ways of interaction by human supporters. Our analysis showed that entrainment of the internal memory structures of the RNNPB through the interactions of the objects and the human supporters are the essential mechanisms for those observed situated behaviors of the robot