Map learning with uninterpreted sensors and effectors
Artificial Intelligence
Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions
Machine Learning - Special issue on learning in autonomous robots
Understanding intelligence
Embedding Connectionist Autonomous Agents in Time: The ‘Road Sign Problem’
Neural Processing Letters
Situated Cognition: On Human Knowledge and Computer Representations
Situated Cognition: On Human Knowledge and Computer Representations
An Introduction to Neural Networks
An Introduction to Neural Networks
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Meaningful information, sensor evolution, and the temporal horizon of embodied organisms
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Robot's play: interactive games with sociable machines
Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Principles of Minimal Cognition: Casting Cognition as Sensorimotor Coordination
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Experience-based reinforcement learning to acquire effective behavior in a multi-agent domain
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Dimensionality reduction through sensory-motor coordination
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Towards a Narrative Mind: The Creation of Coherent Life Stories for Believable Virtual Agents
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Teaching robot companions: the role of scaffolding and event structuring
Connection Science - Social Learning in Embodied Agents
Self-modeling in humanoid soccer robots
Robotics and Autonomous Systems
Development via information self-structuring of sensorimotor experience and interaction
50 years of artificial intelligence
A review of long-term memory in natural and synthetic systems
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
KASPAR --a minimally expressive humanoid robot for human--robot interaction research
Applied Bionics and Biomechanics
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We motivate and present a definition of an embodied, grounded individual sensorimotor interaction history, which captures the time-extended behavior characteristics of humans and many animals. We present an architecture that connects temporally extended individual experience with capacity for action, whereby a robot can develop over ontogeny through interaction. Central to this is an information theoretic metric space of sensorimotor experience, which is dynamically constructed and reconstructed as the robot acts. We present results of robotic experiments that establish the predictive efficacy of the space and we show the robot developing the capacity to play the simple interaction game “peekaboo.” A quantitative investigation of the appropriate horizon length of experience for the game reveals the relationship between the length of experience and the cycle time of interaction, and suggests the importance of multiple, and possibly self-adaptive, horizon lengths.