Support the show to get full episodes, full archive, and join the Discord community.
The Transmitter is an online publication that aims to deliver useful information, insights and tools to build bridges across neuroscience and advance research. Visit thetransmitter.org to explore the latest neuroscience news and perspectives, written by journalists and scientists.
Read more about our partnership.
Sign up for Brain Inspired email alerts to be notified every time a new Brain Inspired episode is released.
To explore more neuroscience news and perspectives, visit thetransmitter.org.
Tom Griffiths directs both the Computational Cognitive Science Lab and the Princeton Laboratory for Artificial Intelligence at Princeton University. He's been on brain inspired before to talk about his previous book Algorithms to Live By: The Computer Science of Human Decisions, which he co-wrote with Brian Christian. Today he's here to talk about his new book, The Laws of Thought: The Quest for a Mathematical Theory of the Mind. In this book, Tom explains how the three pillars of logic, neural networks, and probability theory complement each other to explain cognition, arguing we are on the doorstep to settling what mathematical principles - the so-called "laws of thought" - underly our cognition. So we discuss a little bit about a lot of things, including the concepts themselves, the people who have generated and worked on those concepts. I should also mentioned, Tom recorded a bunch of his interviews with people he writes about, and he's edited and polished those into a podcast called the Cognition Project, which I have enjoyed after reading the book, and I think you'd enjoy it either before or after you read the book.
Computational Cognitive Science Lab
Princeton Laboratory for Artificial Intelligence
Social: @cocosci_lab; @cocoscilab.bsky.social
Book:
The Laws of Thought: The Quest for a Mathematical Theory of the Mind.
Podcast: The Cognition Project
Read the transcript.
0:00 - Intro
3:20 - Tom's approach
7:19 - 3 pillars of the laws of thought
28:24 - Logic and formal systems strip away meaning
39:04 - Nature of thought
50:35 - Kahneman and Tversky
1:015:12 - Enabling constraints and inductive bias
1:12:51 - Hidden layers, probability, and hidden markov models
1:20:47 - Conscious vs nonconscious
1:23:43 - Feelings
1:31:26 - Personal