The workshop will bring together a wide set of perspectives on computational development and learning:
Recent years have seen a growing interest in using computational modeling to complement classic experimental approaches for studying infant development. This workshop is aimed at modelers and non-modelers alike. It showcases recent successes of the fruitful interaction of empirical and theoretical/computational research in infant development. Leading theorists will highlight how careful theoretical work can lead to a better understanding of empirical data and generate testable predictions for future experiments. A second aim of the workshop is to compare different modeling approaches or „schools“ including neural networks, Bayesian reasoning, and dynamical systems, emphasizing their respective strengths and weaknesses.Check out the full information here, and participate :-)
