Books Algorithms to Live By: The Computer Science of Human Decisions by Brian Christian (Author), Tom Griffiths (Author)

Algorithms to Live By: The Computer Science of Human Decisions" by Brian Christian and Tom Griffiths explores how algorithms developed in computer science can be applied to everyday human decision-making. The book provides practical insights into common challenges such as optimal stopping (when to stop searching and make a choice), balancing exploration vs. exploitation, sorting, scheduling, and predicting the future. Key concepts include the "37% rule" for optimal stopping, applying Bayes’ Rule for better prediction by combining prior knowledge with new evidence, and understanding when less information leads to better decisions by avoiding overfitting. The authors show how algorithms offer a scientific framework for improving productivity, prioritization, and problem-solving in everyday life.