The Robot Brains Podcast

Alison Gopnik on the different (and similar) ways robots and children learn

Jun 9, 2021
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Episode notes
1
Introduction
00:00 • 2min
2
How Did You Become Interested in Philosophy?
01:38 • 3min
3
How Do People Learn?
05:00 • 3min
4
Children and Children's Psychology
08:29 • 1min
5
The Theory of Mind
09:58 • 2min
6
What Are Thoughts Like?
12:08 • 4min
7
Is There a Way to Test if Children Are Making Inferences From Statistics?
16:18 • 2min
8
What Are the Basics of Causal Inference?
18:10 • 2min
9
Using a Seidet Detector in a Bar
20:39 • 3min
10
Can I Infer Deteministic Causal Relationships?
23:53 • 4min
11
Do You Have a Belief Revision Experiment?
27:51 • 2min
12
The Problem Is, How Can You Do That With Your Limited Capabilities?
29:35 • 3min
13
What Is Constructivism in Developmental Psychology?
32:42 • 4min
14
Reinforcement Learning
36:25 • 1min
15
Deep Learning
37:51 • 4min
16
Is There a Difference Between Children and Machine Learning?
41:31 • 3min
17
Is That Really Enough Data?
44:43 • 3min
18
Children's Learning
47:14 • 3min
19
The Robot Brains Podcast
50:33 • 3min
20
What Is Hard Wired?
53:35 • 4min
21
Kids Love Remote Controls, Right?
57:30 • 1min
22
What Kind of Children Do You Have?
58:39 • 3min
23
Is There Evidence That Longer Childhood Can Lead to Higher Levels of Intelligence?
01:01:54 • 4min
24
Playing With the Seidet Detector
01:05:34 • 3min
25
Is It Possible to Study Reactor Learning in Children?
01:08:17 • 4min
26
The Role of Social Learning in Learning
01:12:33 • 3min
27
The Curious Children, Wise Elders
01:15:45 • 3min
28
Will It Be Meaningful to Die?
01:19:14 • 3min
29
Are the Adolescents the Most Flexible?
01:22:16 • 2min
30
The Future of AI
01:24:10 • 4min
31
Are You Trying to Build New Values?
01:27:56 • 3min
32
The Gardener and the Carpenter
01:30:53 • 3min