Algorithms to Live By

Technology

Print length: 351 pagesHenry Holt and Company, 2016

Description

Brian Christian examines how the algorithms developed for computers can clarify decisions that routinely overwhelm people. Drawing on computer science, he translates problems such as when to stop searching, how to balance trying new options against using familiar ones, how to sort competing priorities, and what information to keep readily available. The book does not argue that life can be reduced to calculation; instead, it shows how formal procedures can expose the structure hidden inside choices about time, work, memory, and uncertainty. By moving between technical ideas and recognizable dilemmas, Christian explores both the usefulness and limits of efficient decision-making while asking what computational methods reveal about the human mind that created them.

Reading profile

About this profile

Collected’s assessment, not reader ratings. Complexity runs from 1 (least demanding) to 5 (most demanding).

Writing: How much attention the sentences and language require.
Ideas: How much interpretation or abstract reasoning the book asks of you.
Structure: How much you need to keep track of speakers, timelines and connections.
Background knowledge: Prior knowledge needed to follow the book, beyond what it explains.
Emotional intensity: Emotional pressure, from gentle (1) to intense (5). Separate from difficulty.

Writing style

Conversational · Direct · Essayistic

Pace

Moderate

Tone

Cerebral · Philosophical · Reflective

Structure

Argumentative

Focus

Ideas · Information

Emotional intensity

1 / 5

Reading complexity

1–5 · higher means more demanding

Writing: 3 / 5
Ideas: 4 / 5
Structure: 3 / 5
Background knowledge: 2 / 5

Themes

Knowledge and truthMemoryTechnology and societyWork

About Brian Christian

Brian Christian is an American nonfiction writer, researcher, poet, and programmer whose work examines computer science in relation to human judgment, psychology, and philosophy. He translates technical ideas into accessible arguments, combining research synthesis with case studies and interviews. Algorithms to Live By, written with cognitive scientist Tom Griffiths, applies computational concepts to everyday choices such as when to stop searching or try something new. The Alignment Problem investigates how machine-learning systems can be made responsive to human intentions without reproducing prejudice. Across these books and The Most Human Human, Christian is distinguished by his attention to the assumptions about people embedded in formal systems.

About Tom Griffiths

Tom Griffiths is a cognitive psychologist and computational modeller whose work connects the study of human thought with ideas from computer science. In Algorithms to Live By, co-written with Brian Christian, he translates formal problems into recognizable choices, including when to stop searching, how to balance exploration against familiar options, and how to order competing priorities. The book reflects a clear explanatory method, using computational concepts to clarify everyday judgment without suggesting that human life can be reduced to calculation.

Book details

For the print edition listed above.

Publisher: Henry Holt and Company
Language: English
ISBN: 9781627790369

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