Reading List

Inspired by the tradition of Finding the Frame at RLC 2024, we asked each of our speakers to recommend resources which shaped their views as scientists, or shaped how they understand the Phenomena of Minds. Below are a collection of these resources in no particular order. 

• A Neural Substrate of Prediction and Reward by Wolfram Schultz, Peter Dayan, P. Read Montague 

• Reinforcement Learning by Richard S. Sutton , Andrew G. Barto 

• The Structure of Scientific Revolutions by Thomas S. Kuhn  

• On the Measure of Intelligence by François Chollet

• Einstein's Unfinished Revolution by Lee Smolin

• Against Method by Paul Karl Feyerabend