Bayesian learning algorithms - Psychology - Prof. Alison Gopnik - Lecture 1 of 1 - Video-lecture

Video-lecture, Biological Psychology

Description: Dr. Gopnik explains why "children are better scientists than scientists are". Over the past ten years she and colleagues have been studying what kind of computations babies' brains are performing that enable them to learn, from a very small amount of evidence, as much and as quickly as they learn. Bayesian learning algorithms, which use probability theory to describe how an ideal scientist would test hypotheses against evidence, have led to tremendous advances in how machine learning works. It appears that babies are doing just this type of probabilistic computation to draw accurate conclusions about the causal structure of the world. In this video Dr. Gopnik explains a recent study illustrating that children not only imitate intelligently, but they can also improve upon an adult's performance by inferring the causal efficacy of actions. Further, the study suggests that the pedagogical teaching approach to which most cultures are accustomed actually shuts down alternative possibilities and reduces the child's performance Show more
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University: Stanford University (CA)