Algorithms to Live By

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Algorithms to Live By: The Computer Science of Human Decisions

In Algorithms to Live By, Brian Christian and Tom Griffiths take readers on a fascinating journey into the world of computer algorithms and how they can be applied to our everyday lives. This book is a captivating exploration of how these algorithms can help solve common decision-making problems and shed light on the inner workings of the human mind.

The authors tackle the universal constraints of limited time and space that shape our lives, and delve into the challenges that arise from these limitations. They address thought-provoking questions such as how much messiness we should accept, what balance of new activities and familiar favorites is most fulfilling, and what actions we should take or leave undone in a day or a lifetime. While these may seem like uniquely human quandaries, the authors reveal that computers face similar constraints and have been tackling their own version of these problems for decades.

With a blend of computer science, philosophy, and poetry, Brian Christian and Tom Griffiths offer a remarkably interdisciplinary approach to untangling the complexities of human decision-making. They show how the algorithms used by computers can provide insights and strategies for better decision making in various aspects of our lives.

From better hunches and embracing chance to dealing with overwhelming choices and connecting with others, the book provides practical advice on navigating the challenges we encounter. Whether you’re seeking guidance on finding a spouse, organizing your inbox, understanding human memory, or even finding a parking spot, Algorithms to Live By offers a wealth of wisdom drawn from the field of computer science.

The book is a must-read for anyone who wants to enhance their decision-making skills and gain a deeper understanding of the algorithms that shape our lives. It is a captivating blend of science, philosophy, and practical advice that will leave readers with valuable insights to apply in their everyday lives.

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