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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.
Alison Gopnik is a leading expert on child development and a pioneer in applying Bayes Net formalism to explain children's causal learning. She is also a prolific author and a recipient of several awards for her contributions to science and AI.
Alison Gopnik is a leading researcher on children's learning and development, and a prolific author of books and articles on cognitive science. She is a fellow of several academic societies, a recipient of prestigious awards and grants, and a frequent contributor to popular media.
1/6/20. Alison Gopnik What Babies Can Teach AI TED The Robb Lectures
Alison GOPNIK. A theory of causal learning in children: causal maps and Bayes nets. Early reasoning about desires: evidence from 14-and 18-month-olds. The theory theory. An earlier version of this chapter was presented at the Society for Research …. The scientist in the crib: Minds, brains, and how children learn.
Alison Gopnik is a professor of the graduate school at UC Berkeley who studies how children learn about the world. She is interested in cognitive development, causal learning, and the interface between psychology and philosophy.
Jul 27, 2023 · The award honors her contributions to the theoretical foundations of human cognition, especially how children learn and understand their own minds. Gopnik is a prolific and influential writer and researcher who bridges psychology, philosophy and artificial intelligence.
