行为科学高端论坛(四)【12月6日周二,15:00-16:30,南楼5层会议室】:行为科学高端论坛(四)【12月6日周二,15:00-16:30,南楼5层会议室】:Chance  and  Time

[2016-12-06]

时间:2016126日,周二下午,15:00-16:30

 

地点:心理所南楼5层会议室

 

报告人:王宏斌 教授

 

报告主题:Chance and Time 

 

报告摘要:

The brain’s ability to perceive patterns out of randomness is an essential aspect of human intelligence, as well as an active research topic in Artificial Intelligence and Machine Learning. Ironically, the ability is also often blamed for underlying many of the so-called cognitive "biases", including the hot-hand belief and gambler’s fallacy. In this talk, I will address the issue by demonstrating the limitations of conventional mathematical frameworks such as probability theory for modeling human cognition. I will show how a biologically motivated neural network can learn not only how likely a pattern occurs (chance) but also how soon a pattern is to occur (time), and therefore is capable of capturing much richer statistical structures that are important for survival. I will advocate the need for a new mathematics for modeling the brain and the mind that is simultaneously descriptive, normative, and biologically realistic. Quantum approach to cognition will be discussed.

报告人简介:

Hongbin Wang, Ph.D., professor and co-director, Center for Biomedical Informatics, Texas A&M University College of Medicine. He graduated with a BS in psychology from Peking University, and received a MS in computer science and a PhD in psychology, both from the Ohio State University. His research is in the area of cognitive science and cognitive computing. His recent research interests include the neuro-computational foundation of human decision making and machine intelligence.

 

王宏斌博士现任职美国德州农工大学医学院教授(终身教职),生物医学信息学中心共同主任。王宏斌博士长期从事认知科学与认知计算的研究,他的研究专注于人类认知架构,机器学习与人工智能。王宏斌博士1991年毕业于北京大学,获心理学学士学位,并于1998年在美国俄亥俄州立大学获得计算机硕士学位(人工智能专业)和心理学博士学位(认知心理学专业)。


 
 
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