Title
Algorithms to Live By: The Computer Science of Human Decisions,Used
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An exploration of how computer algorithms can be applied to our everyday lives to solve common decisionmaking problems and illuminate the workings of the human mind.What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of the new and familiar is the most fulfilling? These may seem like uniquely human quandaries, but they are not. Computers, like us, confront limited space and time, so computer scientists have been grappling with similar problems for decades. And the solutions they?ve found have much to teach us.In a dazzlingly interdisciplinary work, Brian Christian and Tom Griffiths show how algorithms developed for computers also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one?s inbox to peering into the future, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.
- Q: What is the size of the book? A: The book measures six point one inches in length, zero point nine one inches in width, and nine point one five inches in height.
- Q: How many pages does the book have? A: The book contains three hundred sixty-eight pages, providing an in-depth exploration of decision-making through algorithms.
- Q: What type of binding does the book have? A: This book is a paperback edition, making it lightweight and easy to handle.
- Q: Who are the authors of the book? A: The book is authored by Brian Christian and Tom Griffiths, both of whom are experts in computer science and human decision-making.
- Q: Is this book suitable for beginners in computer science? A: Yes, the book is accessible to beginners, using relatable examples to explain complex algorithms and decision-making processes.
- Q: What themes are explored in the book? A: The book explores themes of decision-making, problem-solving, and the application of computer algorithms to everyday human choices.
- Q: How should I store this book to keep it in good condition? A: Store the book in a cool, dry place away from direct sunlight to prevent fading and damage to the pages.
- Q: Is this book safe for children? A: Yes, the book is appropriate for older children and teens interested in understanding decision-making through a scientific lens.
- Q: How do I care for this paperback book? A: To care for the book, handle it gently, avoid bending the cover, and keep it away from liquids to prevent damage.
- Q: What if the book arrives damaged? A: If the book arrives damaged, you can typically return it according to the retailer's return policy for a replacement or refund.
- Q: Is this book recommended for professionals in decision-making roles? A: Yes, professionals in decision-making roles will find valuable insights and strategies applicable to their work.
- Q: Can this book help with everyday decision-making? A: Yes, the book provides practical strategies for applying algorithms to everyday decisions, like managing time and choices.
- Q: How does this book compare to other decision-making books? A: Unlike many decision-making books, this one uniquely integrates computer science algorithms with human psychology for practical applications.
- Q: What is the reading level of this book? A: The reading level is suitable for adults and mature teens, as it discusses complex concepts in an understandable manner.
- Q: What is the genre of this book? A: The book falls under the genre of non-fiction, specifically in the areas of decision-making and problem-solving.
- Q: What is the main purpose of the book? A: The main purpose of the book is to illustrate how computer algorithms can inform and improve human decision-making processes.