International Journal of Robotics Research
Understanding intelligence
Designing Sociable Robots
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
The cog project: building a humanoid robot
Computation for metaphors, analogy, and agents
On the nature of minds, or: truth and consequences
Journal of Experimental & Theoretical Artificial Intelligence - Pluralism and the Future of Cognitive Science
On the information theoretic implications of embodiment - principles and methods
50 years of artificial intelligence
Approximating n-player behavioural strategy nash equilibria using coevolution
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Lingodroids: socially grounding place names in privately grounded cognitive maps
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Incorporating haptic feedback in simulation for learning physics
Computers & Education
Beyond here-and-now: extending shared physical experiences to shared conceptual experiences
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Intelligence and embodiment: A statistical mechanics approach
Neural Networks
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The embodiment hypothesis is the idea that intelligence emerges in the interaction of an agent with an environment and as a result of sensorimotor activity. We offer six lessons for developing embodied intelligent agents suggested by research in developmental psychology. We argue that starting as a baby grounded in a physical, social, and linguistic world is crucial to the development of the flexible and inventive intelligence that characterizes humankind.