Apr 25, 2022 • 1HR 37M

#89: Tom Griffiths on Formalizing the Mind

Cognitive Revolution | Tom's work uses inspiration from artificial intelligence to support his theories about the mind. We get into his ground-floor look at this approach to cognitive science.

 
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Welcome to the Meaning Lab podcast. In each episode, I talk to a scientist, author, or artist about their approach to meaning-making — from language, to productivity, to writing, to travel. It's all fair game, as long as it gets us closer to understanding how we make sense of the world and our place in it.
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This is Cognitive Revolution, my show about the personal side of the intellectual journey. Each week, I interview an eminent scientist, writer, or academic about the experiences that shaped their ideas. The show is available wherever you listen to podcasts.


Tom Griffiths is Professor Psychology and Computation Science at Princeton University, where he directs the Computational Cognitive Science Lab. Tom uses algorithms from AI to inform his work as a psychologist—testing the ways in which hims align with or deviate from the standards set by the AI models. He’s a central figure in this field, and in this episode we go deep on how it first occurred to Tom to use computers to study the mind—as well as where this work has taken him over the years. Tom recently released a podcast series through Audible, co-hosted with Brian Christian, called Algorithms at Work. I finished it recently and can confidently say it’s one of the best podcast series I’ll listen to all year!


Like this episode? Here’s another one to check out:

Against Habit
#80: Sam Gershman on the Structure of Cognitive Revolutions
Listen now (76 min) | This is Cognitive Revolution, my show about the personal side of the intellectual journey. Each week, I interview an eminent scientist, writer, or academic about the experiences that shaped their ideas. The show is available wherever you listen to podcasts…
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