Infant-like social interactions between a robot and a human caregiver
Adaptive Behavior
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Computational Explorations in Cognitive Neuroscience: Understanding the Mind by Simulating the Brain
Theory of Mind for a Humanoid Robot
Autonomous Robots
Meta-learning in reinforcement learning
Neural Networks
ICDL '02 Proceedings of the 2nd International Conference on Development and Learning
Emergence of Mirror Neurons in a Model of Gaze Following
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Hi-index | 0.01 |
We investigate a computational model of the emergence of gaze following that is based on a generic basic set of mechanisms. Whereas much attention has been focused so far on the study of the infant's behavior, we systematically analyze the caregiver and show that he plays a crucial role in the development of gaze following in our model, especially for infant models with simulated developmental disorders such as autism and Williams syndrome. We first create two reference infant parameter sets and test their behavior with a simple standard caregiver. Based on these findings we then propose new caregiver models and evaluate them on normally developing infants and on infants with simulated developmental disorders. Further, we investigate if and how a pair of infants (with and without simulated developmental disorders) might learn gaze following from scratch, without a mature caregiver. The findings of this paper suggest the pivotal role the caregiver plays for the infant in developing gaze following, that his predictability is the most important criterion, and that different infant models require particular caregivers for gaze following to emerge optimally. Our simulations are consistent with Leekam's finding, that autistics can learn to follow gaze through a contingent presentation of rewarding visual stimuli, but that a lack of motivation may impede learning.