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2014年3月12日学术报告:A Computational Approach to Understand the Human Mind,美国加州大学洛杉矶分校Hongjing Lu教授


添加时间:2014-03-03 16:25:04



 时间:2014年3月12日(星期三) 下午3点

地点:中心教学楼1003会议室

报告人:Hongjing Lu (吕宏静), Associate Professor, Departments of Psychology and  Statistics, University of California, Los Angeles (UCLA)

报告题目: A Computational Approach to Understand the Human Mind

报告摘要:In this talk, I will illustrate how cognitive psychologists study human perception and cognition using a computational approach, and how intelligent machines might emulate them. In tasks that arise both in childhood (e.g., perceptual learning and language acquisition) and in adulthood (e.g., action understanding and analogical inference), humans often paradoxically succeed in making inferences from inadequate data. The data available are often sparse (very few examples), ambiguous (multiple possible interpretations), and noisy (low signal-to-noise ratio). I will show two examples from motion perception and analogical reasoning to illustrate the use of a Bayesian framework to investigate how humans make inferences from noisy and sparse data.



作者:董震