Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548

36:54
 
แบ่งปัน
 

Manage episode 315875285 series 2355587
โดย TWIML and Sam Charrington และถูกค้นพบโดย Player FM และชุมชนของเรา -- ลิขสิทธิ์นี้เป็นของผู้เผยแพร่ ไม่ใช่ Player FM โดยมีการสตรีมเสียงโดยตรงจากเซิร์ฟเวอร์ผู้เผยแพร่ กดปุ่มติดตามเพื่อติดตามการอัพเดทใน Player FM หรือวาง URL ฟีดนี้ไปยังแอพพอดคาสท์อื่น

Today we close out the 2021 NeurIPS series joined by Alison Gopnik, a professor at UC Berkeley and an invited speaker at the Causal Inference & Machine Learning: Why now? Workshop. In our conversation with Alison, we explore the question, “how is it that we can know so much about the world around us from so little information?,” and how her background in psychology, philosophy, and epistemology has guided her along the path to finding this answer through the actions of children. We discuss the role of causality as a means to extract representations of the world and how the “theory theory” came about, and how it was demonstrated to have merit. We also explore the complexity of causal relationships that children are able to deal with and what that can tell us about our current ML models, how the training and inference stages of the ML lifecycle are akin to childhood and adulthood, and much more!

The complete show notes for this episode can be found at twimlai.com/go/548

593 ตอน