Description
In Algorithms to Live By, Brian Christian and cognitive scientist Tom Griffiths explore how ideas from computer science can offer insight into everyday human decisions. While algorithms are often associated with computers, many of the problems they solve mirror the choices people face in daily life.
Both humans and computers operate under limits of time, space, and information. Computer scientists have spent decades developing strategies to navigate these constraints, and the authors show how these strategies can shed light on questions about how we choose, prioritise, and organise our lives.
The book examines topics such as how long to search for the best option, how to balance exploring new possibilities with relying on familiar choices, and how to manage overwhelming amounts of information. From choosing a partner or apartment to organising an inbox or planning a schedule, the authors connect algorithmic thinking to everyday decisions.
Blending computer science, mathematics, psychology, and real world examples, Algorithms to Live By presents an interdisciplinary exploration of how computational ideas can illuminate the ways people think, decide, and navigate complex choices.

