In today’s episode we are joined by Dr. Tom Griffiths, Professor of Psychology and Cognitive Science at Princeton University, to talk about the mathematical principles behind human cognition. Tom shares with us how mathematical models are used to understand cognition, and how these can be applied in computer science to machine learning to create more efficient and capable computer systems. Why are humans so good at solving problems that computers struggle with? What is inductive bias and how does this separate humans from computers? How does understanding machine learning help us understand human behaviour? All this and much more in Algorithms to Live By with Dr. Tom Griffiths!