|
Alison Gopnik (born June 16, 1955) is an American professor of psychology and affiliate professor of philosophy at the University of California, Berkeley. She is known for her work in the areas of cognitive and language development, specializing in the effect of language on thought, the development of a theory of mind, and causal learning. Her writing on psychology and cognitive science has appeared in ''Science'', ''The Times Literary Supplement'', ''The New York Review of Books'', ''The New York Times'', ''New Scientist'', ''Slate'' and others.〔(【引用サイトリンク】url=http://www.cla.auburn.edu/cla/littleton-franklin/alison-gopnik/ )〕 Her body of work also includes four books and over 100 journal articles. She has frequently appeared on TV and radio including ''The Charlie Rose Show'' and ''The Colbert Report''. ''Slate'' writes of Gopnik, "One of the most prominent researchers in the field, Gopnik is also one of the finest writers, with a special gift for relating scientific research to the questions that parents and others most want answered. This is where to go if you want to get into the head of a baby." Gopnik is a columnist for ''The Wall Street Journal'', sharing the Mind & Matter column with Robert Sapolsky on alternating Saturdays. ==Academic career== Gopnik received a B.A., majoring in psychology and philosophy, from McGill University in 1975. In 1980, she received a D.Phil. in experimental psychology from Oxford University. She worked at the University of Toronto before joining the faculty at UC Berkeley in 1988.〔(【引用サイトリンク】url=http://psychology.berkeley.edu/faculty/profiles/agopnik_cv.pdf )〕 Gopnik has done extensive work with applying Bayesian networks to human learning and has published and presented numerous papers on the topic.〔 Gopnik says of this work, "The interesting thing about Bayes nets is that they search out causes rather than mere associations. They give you a single representational structure for dealing both with things that just happen and with interventions--things you observe others doing to the world or things you do to the world. This is important because there is something really special about the way we treat and understand human action. We give it a special status in terms of our causal inferences. We think of human actions as things that you do that are designed to change things in the world as opposed to other events that just take place."〔(【引用サイトリンク】url=http://www.newscientist.com/article/mg17823955.400-what-every-baby-knows.html )〕 Judea Pearl, developer of Bayesian networks, says Gopnik was one of the first psychologists to note that the mathematical models also resemble how children learn. Gopnik's work at Berkeley's Child Study Center seeks to develop mathematical models of how children learn. These models could be used to develop better algorithms for artificial intelligence. In April, 2013, Gopnik was inducted into The American Academy of Arts and Sciences. She is, as of 2014, a Fellow of the Cognitive Science Society.〔(【引用サイトリンク】url=http://cognitivesciencesociety.org/about_awards_fellows.html )〕 抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Alison Gopnik」の詳細全文を読む スポンサード リンク
|