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主讲人 |
Thomas Sargent |
简介 |
<p>To begin, I'll describe some limits that cognitive scientists tell us about human intelligence and how humans have nevertheless invented artificial intelligence and machine learning. I'll explore the paradoxical situation that the tools that data scientists have used to develop artificial intelligence are about subjects in which we humans have hard-wired cognitive challenges that mislead us. I'll do this by giving some very old examples of "AI", discuss some new ones, and make some guesses about prospective applications, especially for economists and other social scientists. </p> |
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主讲人简介 |
<p>Thomas Sargent is the William R. Berkley Professor of Economics and Business at New York University. He was awarded the 2011 Nobel Prize in Economics, shared with Princeton University's Christopher Sims, for his empirical research on cause and effect in the macroeconomy. Professor Sargent specializes in the fields of macroeconomics, monetary economics and time series econometrics. He has developed methods for examining the relationship between policy and economics and has shown how the effects of the permanent restructuring of economic policy can be analyzed and how households and businesses have adjusted their expectations to match economic development.</p> |
期数 |
“邹至庄讲座”杰出学者论坛（第65期） |
