Matthew Botvinick

Matthew Botvinick’s work straddles the boundaries between cognitive psychology, computational and experimental neuroscience and artificial intelligence. In this talk Dr. Botvinick will review recent developments in deep reinforcement learning (RL), showing how deep RL can proceed rapidly, and also have interesting potential implications for our understanding of human learning and neural function.

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Matt Botvinick is the Director of Neuroscience Research at DeepMind. He is a brilliant cross-disciplinary mind navigating effortlessly between cognitive psychology, computational neuroscience, and artificial intelligence. This conversation is part of the Artificial Intelligence podcast.

Outline:

0:00 - Introduction
3:29 - How much of the brain do we understand?
14:26 - Psychology
22:53 - The paradox of the human brain
32:23 - Cognition is a function of the environment
39:34 - Prefrontal cortex
53:27 - Information processing in the brain
1:00:11 - Meta-reinforcement learning
1:15:18 - Dopamine
1:19:01 - Neuroscience and AI research
1:23:37 - Human side of AI
1:39:56 - Dopamine and reinforcement learning
1:53:07 - Can we create an AI that a human can love?

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