💻 Computation Theory

Foundational explorations of algorithms, Turing machines, and decidability — the mathematical bedrock that defines the possibilities and limits of computing.

Algorithms

by Panos Louridas • 2020

Twenty steps to find one item in a million, and the hidden logic that runs our world.

4.03

302

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory

Algorithms 92%

Twenty steps to find one item in a million, and the hidden logic that runs our world.

by Panos Louridas 2020

4.03

302 ratings

📐 Algorithm Design 💻 Computing Primers 🕸️ Graph Theory

Computer Science Distilled

by Wladston Ferreira Filho • 2017

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

4.07

1k+

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures

Computer Science Distilled 92%

The missing CS toolkit for self-taught coders: how to think in algorithms, not just syntax.

by Wladston Ferreira Filho 2017

4.07

1k+ ratings

🧠 Computational Thinking 🧮 Algorithm Design 🗂️ Data Structures

Computing machinery and intelligence

by Alan M. Turing • 1950

Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.

4.15

574

🧠 Philosophy Of Mind 🤖 Machine Cognition 📜 Foundational Texts

Computing machinery and intelligence Summary

Computing machinery and intelligence 92%

Fool the interrogator through conversation alone, and the machine deserves to be called intelligent.

by Alan M. Turing 1950

4.15

574 ratings

🧠 Philosophy Of Mind 🤖 Machine Cognition 📜 Foundational Texts

Computer Power and Human Reason

by Joseph Weizenbaum • 1976

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

4.31

294

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics

Computer Power and Human Reason 91%

The computer's greatest danger isn't outthinking us; it's that we'll remake ourselves in its image.

by Joseph Weizenbaum 1976

4.31

294 ratings

🦾 Philosophy Of Technology 🤖 Ai Criticism ⚖️ Computer Ethics

Nine Algorithms That Changed the Future

by John MacCormick • 2012

The hidden algorithms behind search and security, and the one problem no machine can solve.

3.89

2k+

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure

Nine Algorithms That Changed the Future Summary

Nine Algorithms That Changed the Future 91%

The hidden algorithms behind search and security, and the one problem no machine can solve.

by John MacCormick 2012

3.89

2k+ ratings

📘 Algorithms Explained 🧠 Computational Thinking 🌐 Digital Infrastructure

Once Upon an Algorithm

by Martin Erwig • 2017

What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.

3.63

265

🧠 Computational Thinking 📐 Algorithm Design 📖 Story-Driven Education

Once Upon an Algorithm 91%

What Hansel and Gretel, Sherlock Holmes, and Groundhog Day can teach you about algorithms.

by Martin Erwig 2017

3.63

265 ratings

🧠 Computational Thinking 📐 Algorithm Design 📖 Story-Driven Education

The Science of Free Will

by Samir Varma • 2025

You can't predict your next thought. No computer can either. That's not a gap: it's free will.

3.35

🧩 Compatibilism 🦋 Chaos Theory 🤖 Ai Ethics

The Science of Free Will 91%

You can't predict your next thought. No computer can either. That's not a gap: it's free will.

by Samir Varma 2025

3.35

17 ratings

🧩 Compatibilism 🦋 Chaos Theory 🤖 Ai Ethics

The Emperor's New Mind

by Roger Penrose • 1989

Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.

3.91

8k+

⚛️ Theoretical Physics 🧠 Philosophy Of Mind 🧩 Cognitive Science

The Emperor's New Mind 91%

Consciousness isn't computation. Proof spans Gödel's theorem to quantum gravity's missing laws.

by Roger Penrose 1989

3.91

8k+ ratings

⚛️ Theoretical Physics 🧠 Philosophy Of Mind 🧩 Cognitive Science

Computational Thinking

by Peter J. Denning • 2019

It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.

3.63

304

💭 Computational Thinking 🕰️ History Of Computing 🎨 Design Thinking

Computational Thinking 91%

It is a 4,500-year-old practice that built modern science, yet most confuse it with just coding.

by Peter J. Denning 2019

3.63

304 ratings

💭 Computational Thinking 🕰️ History Of Computing 🎨 Design Thinking

Godel's Proof

by Ernest Nagel • 1958

Arithmetic cannot prove its own consistency. The man who proved that was twenty-five.

4.19

6k+

🧮 Mathematical Logic 🏛️ Foundations Of Mathematics 🧩 Incompleteness

Godel's Proof 91%

Arithmetic cannot prove its own consistency. The man who proved that was twenty-five.

by Ernest Nagel 1958

4.19

6k+ ratings

🧮 Mathematical Logic 🏛️ Foundations Of Mathematics 🧩 Incompleteness

Introduction to Computation and Programming Using Python

by John V. Guttag • 2013

A computer calculates and remembers; everything beyond that is what you build with code.

4.22

500

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners

Introduction to Computation and Programming Using Python Summary

Introduction to Computation and Programming Using Python 91%

A computer calculates and remembers; everything beyond that is what you build with code.

by John V. Guttag 2013

4.22

500 ratings

🧑‍💻 Introductory Programming 🧠 Computational Thinking 🐍 Python For Beginners

The Art of Computer Programming, Volume 1

by Donald Ervin Knuth • 1973

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

4.38

2k+

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis

The Art of Computer Programming, Volume 1 Summary

The Art of Computer Programming, Volume 1 91%

Algorithms are not just code: they are mathematical objects. To understand one, you must prove it.

by Donald Ervin Knuth 1973

4.38

2k+ ratings

🧮 Algorithm Design 🗂️ Data Structures 📈 Algorithm Analysis

Information Theory, Coding and Crytography

by Ranjan Bose • 2002

Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.

3.75

162

🧠 Information Theory 🔢 Coding Theory 🔐 Cryptography

Information Theory, Coding and Crytography Summary

Information Theory, Coding and Crytography 91%

Entropy sets the limit. Coding reaches it. Cryptography locks it. One textbook covers all three.

by Ranjan Bose 2002

3.75

162 ratings

🧠 Information Theory 🔢 Coding Theory 🔐 Cryptography

Everyday Chaos

by David Weinberger • 2019

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

3.78

202

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning

Everyday Chaos 90%

A medical AI diagnoses illness but can't explain how. The age of demanding explanations is over.

by David Weinberger 2019

3.78

202 ratings

🔬 Complexity Science 🔄 Systems Thinking 🤖 Machine Learning

Introduction to Algorithms

by Thomas H. Cormen • 1989

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

4.35

9k+

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis

Introduction to Algorithms 90%

Sorting a billion records can take days or seconds, depending on the algorithm, not the processor.

by Thomas H. Cormen 1989

4.35

9k+ ratings

📘 Algorithms 🗂️ Data Structures 📊 Algorithm Analysis

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People

by Aditya Y. Bhargava • 2015

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

4.41

5k+

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People Summary

Grokking Algorithms An Illustrated Guide For Programmers and Other Curious People 90%

Algorithms stripped of dense math: a hand-drawn guide to thinking in runtimes and data structures.

by Aditya Y. Bhargava 2015

4.41

5k+ ratings

🔢 Algorithm Fundamentals 🧱 Data Structures 🔍 Sorting And Searching

The Ethical Algorithm

by Michael Kearns • 2019

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

4.10

671

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics

The Ethical Algorithm 90%

Algorithms don't do ethics by default. Making them fair takes math, and the math demands trade-offs.

by Michael Kearns 2019

4.10

671 ratings

⚖️ Algorithmic Bias 🔒 Data Privacy 🤖 Ai Ethics

Algorithm Design

by Jon Kleinberg • 2005

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

4.17

664

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory

Algorithm Design 90%

Design algorithms that run fast; recognize the problems that never will; and learn the workarounds.

by Jon Kleinberg 2005

4.17

664 ratings

🧮 Algorithm Design ⏱️ Computational Complexity 🕸️ Graph Theory

Creativity Code

by Marcus du Sautoy • 2019

AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.

3.94

2k+

🤖 Machine Creativity 🎨 Ai Generated Art 🖌️ Generative Art

Creativity Code 90%

AI paints, composes, writes. But can a machine truly be creative? A mathematician investigates.

by Marcus du Sautoy 2019

3.94

2k+ ratings

🤖 Machine Creativity 🎨 Ai Generated Art 🖌️ Generative Art

An Introduction to General Systems Thinking

by Gerald M. Weinberg • 1975

Stability is not a property of a system but a contract it negotiates with its environment.

3.94

671

🧩 Systems Theory 🔬 Philosophy Of Science 🤖 Cybernetics

An Introduction to General Systems Thinking Summary

An Introduction to General Systems Thinking 90%

Stability is not a property of a system but a contract it negotiates with its environment.

by Gerald M. Weinberg 1975

3.94

671 ratings

🧩 Systems Theory 🔬 Philosophy Of Science 🤖 Cybernetics

Code

by Charles Petzold • 1999

How a simple switch, a telegraph relay, and Boolean logic became the modern computer.

4.40

11k+

💻 How Computers Work 🏗️ Computer Architecture 🔢 Digital Logic

Code 90%

How a simple switch, a telegraph relay, and Boolean logic became the modern computer.

by Charles Petzold 1999

4.40

11k+ ratings

💻 How Computers Work 🏗️ Computer Architecture 🔢 Digital Logic

Data Structures and Algorithms Made Easy

by Narasimha Karumanchi • 2011

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

4.10

1k+

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design

Data Structures and Algorithms Made Easy Summary

Data Structures and Algorithms Made Easy 90%

Every algorithm problem has multiple solutions. Find the fastest one, step by step.

by Narasimha Karumanchi 2011

4.10

1k+ ratings

⏱️ Algorithm Analysis 🗃️ Data Structures ✍️ Algorithm Design

Data Structures and Algorithms

by Alfred V. Aho • 1983

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

3.93

245

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design

Data Structures and Algorithms 90%

Write code that scales: the classic mathematical toolkit for reasoning about speed before you run.

by Alfred V. Aho 1983

3.93

245 ratings

🧱 Data Structures ⏱️ Algorithm Analysis 🔨 Algorithm Design

Structured Computer Organization

by Andrew S. Tanenbaum • 1976

From logic gates to assembly code: the layered architecture every computer hides in plain sight.

4.04

591

🏗️ Computer Architecture 🧅 Layered Abstraction 🔌 Digital Logic

Structured Computer Organization Summary

Structured Computer Organization 90%

From logic gates to assembly code: the layered architecture every computer hides in plain sight.

by Andrew S. Tanenbaum 1976

4.04

591 ratings

🏗️ Computer Architecture 🧅 Layered Abstraction 🔌 Digital Logic

The Myth of Artificial Intelligence

by Erik J. Larson • 2021

Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.

3.96

935

🛑 Ai Skepticism ⚙️ Philosophy Of Technology 💻 Computational Limits

The Myth of Artificial Intelligence Summary

The Myth of Artificial Intelligence 90%

Computers can't guess. That single limitation makes human-level AI a myth, not an inevitability.

by Erik J. Larson 2021

3.96

935 ratings

🛑 Ai Skepticism ⚙️ Philosophy Of Technology 💻 Computational Limits

Q is for Quantum

by Terry Rudolph • 2017

Forget the math: colored balls explain superposition, entanglement, and why quantum computers work.

3.59

222

💻 Quantum Computing 🔬 Popular Physics 🔗 Entanglement

Q is for Quantum 90%

Forget the math: colored balls explain superposition, entanglement, and why quantum computers work.

by Terry Rudolph 2017

3.59

222 ratings

💻 Quantum Computing 🔬 Popular Physics 🔗 Entanglement

Neural Networks, Fuzzy Logic And Genetic Algorithms

by S. Rajasekaran • 2004

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

4.21

151

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic

Neural Networks, Fuzzy Logic And Genetic Algorithms Summary

Neural Networks, Fuzzy Logic And Genetic Algorithms 90%

Soft computing's three pillars each have blind spots. This is how they fill each other's gaps.

by S. Rajasekaran 2004

4.21

151 ratings

🖥️ Soft Computing 🧠 Neural Networks 🌫️ Fuzzy Logic

Automate This

by Christopher Steiner • 2012

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

3.82

4k+

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking

Automate This 90%

Algorithms took Wall Street. Now they compose music, allocate kidneys, and profile personalities.

by Christopher Steiner 2012

3.82

4k+ ratings

📈 Algorithmic Trading 🤖 Automation And Society 💻 Computational Thinking

Mastering Regular Expressions

by Jeffrey E.F. Friedl • 1997

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

4.16

2k+

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching

Mastering Regular Expressions 90%

Understand the engine behind your regex: why some patterns crawl, and how to make them run.

by Jeffrey E.F. Friedl 1997

4.16

2k+ ratings

🧩 Regular Expressions 📝 Text Processing 🔍 Pattern Matching

The Fabric of Reality

by David Deutsch • 1996

Quantum interference reveals other universes touching ours; the multiverse is not optional.

4.14

6k+

⚛️ Quantum Mechanics 🌌 Many Worlds 💻 Quantum Computation

The Fabric of Reality 90%

Quantum interference reveals other universes touching ours; the multiverse is not optional.

by David Deutsch 1996

4.14

6k+ ratings

⚛️ Quantum Mechanics 🌌 Many Worlds 💻 Quantum Computation

Rage Inside the Machine

by Robert Elliott Smith • 2019

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

3.97

145

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism

Rage Inside the Machine 90%

Algorithms reduce reality to neat categories. Prejudice is not a bug but the predictable exhaust.

by Robert Elliott Smith 2019

3.97

145 ratings

🧩 Algorithmic Bias 🤖 AI Ethics 💻 Tech Criticism

Python Programming

by John Zelle • 2003

A Python-first CS textbook that teaches what computation can do, not just how to code.

4.02

483

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals

Python Programming 90%

A Python-first CS textbook that teaches what computation can do, not just how to code.

by John Zelle 2003

4.02

483 ratings

📘 Introductory Programming 🐍 Python Programming 🧮 Algorithm Fundamentals

Think Like a Programmer

by V. Anton Spraul • 2012

A method for the part of programming no one teaches: turning ideas into code.

3.87

591

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer

Think Like a Programmer 90%

A method for the part of programming no one teaches: turning ideas into code.

by V. Anton Spraul 2012

3.87

591 ratings

🧠 Algorithmic Thinking 📚 Programming Pedagogy ➗ Divide And Conquer

The Algorithm Design Manual

by Steven S. Skiena • 1997

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

4.34

3k+

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms

The Algorithm Design Manual 90%

The first step is modeling, not coding. A practical manual and its 75-problem catalog show how.

by Steven S. Skiena 1997

4.34

3k+ ratings

🧩 Algorithm Design 🗃️ Data Structures 🕸️ Graph Algorithms

How to Create a Mind

by Ray Kurzweil • 2012

The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.

3.96

8k+

🤖 Artificial Intelligence 🧠 Cognitive Science 💻 Computational Neuroscience

How to Create a Mind 90%

The brain runs on 300 million pattern recognizers. Copy that hierarchy, and human-level AI is next.

by Ray Kurzweil 2012

3.96

8k+ ratings

🤖 Artificial Intelligence 🧠 Cognitive Science 💻 Computational Neuroscience

The Master Algorithm

by Pedro Domingos • 2015

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

3.73

6k+

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence

The Master Algorithm 90%

Machine learning's rival schools share a hidden core. Finding it could unlock general intelligence.

by Pedro Domingos 2015

3.73

6k+ ratings

🤖 Machine Learning 📚 Popular Science 🧠 Superintelligence

My Good Grief

by Cindyanne Kershaw • 2006

Seen enough options? There is a mathematically optimal moment to stop looking and commit.

4.50

💻 Applied Computer Science 🔬 Science-Based Self-Help 🤔 Rational Decision Making

My Good Grief 90%

Seen enough options? There is a mathematically optimal moment to stop looking and commit.

by Cindyanne Kershaw 2006

4.50

2 ratings

💻 Applied Computer Science 🔬 Science-Based Self-Help 🤔 Rational Decision Making

Algorithms to Live By

by Brian Christian • 2016

When to settle, when to quit, when to trust chance: computer science already found the answers.

4.12

35k+

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning

Algorithms to Live By 90%

When to settle, when to quit, when to trust chance: computer science already found the answers.

by Brian Christian 2016

4.12

35k+ ratings

🧠 Algorithmic Thinking 🔬 Decision Science 📊 Bayesian Reasoning

Artificial Intelligence

by Margaret A. Boden • 2018

What AI can do, what it can't, and why the difference is philosophy more than code.

3.29

388

🧠 Artificial Intelligence 🔬 Cognitive Science 💭 Philosophy Of Mind

Artificial Intelligence 90%

What AI can do, what it can't, and why the difference is philosophy more than code.

by Margaret A. Boden 2018

3.29

388 ratings

🧠 Artificial Intelligence 🔬 Cognitive Science 💭 Philosophy Of Mind

Geek Sublime

by Vikram Chandra • 2013

Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.

3.28

1k+

💻 Code Aesthetics 🌐 Computing Culture 🪷 Indian Aesthetics

Geek Sublime 90%

Why great code feels elegant: the answer may lie in ancient Indian aesthetics, not algorithms.

by Vikram Chandra 2013

3.28

1k+ ratings

💻 Code Aesthetics 🌐 Computing Culture 🪷 Indian Aesthetics

How Computers Really Work

by Matthew Justice • 2020

From transistor to web: the computing stack explained layer by layer, no prerequisites required.

4.35

160

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers

How Computers Really Work 90%

From transistor to web: the computing stack explained layer by layer, no prerequisites required.

by Matthew Justice 2020

4.35

160 ratings

🏗️ Computer Architecture ⚡ Digital Electronics 🧱 Abstraction Layers

Quantum Computing

by Brian Clegg • 2021

Online encryption relies on math no classical computer can crack. Quantum ones do it instantly.

3.64

306

🧪 Quantum Physics 💾 Computing History ⚛️ Quantum Computing

Quantum Computing 90%

Online encryption relies on math no classical computer can crack. Quantum ones do it instantly.

by Brian Clegg 2021

3.64

306 ratings

🧪 Quantum Physics 💾 Computing History ⚛️ Quantum Computing

Data Structures and Algorithms in Java

by Michael T. Goodrich • 1998

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

3.86

302

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design

Data Structures and Algorithms in Java Summary

Data Structures and Algorithms in Java 90%

Data structures and their runtime analysis: how to write Java code that is efficient and dependable.

by Michael T. Goodrich 1998

3.86

302 ratings

🧱 Data Structures ⚙️ Algorithms 🏗️ Algorithm Design

The Eye of the Master

by Matteo Pasquinelli • 2023

AI was never about thinking machines. It was built to measure, rank, and control workers.

4.06

292

🧠 Critical AI Studies 💻 History Of Computing 🏭 Division Of Labor

The Eye of the Master 90%

AI was never about thinking machines. It was built to measure, rank, and control workers.

by Matteo Pasquinelli 2023

4.06

292 ratings

🧠 Critical AI Studies 💻 History Of Computing 🏭 Division Of Labor

How AI Thinks

by Nigel Toon • 2024

It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.

3.62

322

💻 Computing History 🧠 Machine Learning ⚖️ Ai Ethics

How AI Thinks 89%

It's a learning engine, not a thinking mind. The revolution is here, and it's not sentient.

by Nigel Toon 2024

3.62

322 ratings

💻 Computing History 🧠 Machine Learning ⚖️ Ai Ethics

The Nature of Code

by Daniel Shiffman • 2012

Code that breathes: how to build simulations that move, think, and evolve on your screen.

4.57

502

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata

The Nature of Code 89%

Code that breathes: how to build simulations that move, think, and evolve on your screen.

by Daniel Shiffman 2012

4.57

502 ratings

🎨 Creative Coding 🖼️ Generative Art 🟩 Cellular Automata

What Is ChatGPT Doing... and Why Does It Work?

by Stephen Wolfram • 2023

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

3.85

2k+

🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language

What Is ChatGPT Doing... and Why Does It Work? Summary

What Is ChatGPT Doing... and Why Does It Work? 89%

ChatGPT is just next-word prediction. The breakthrough is what that reveals about language itself.

by Stephen Wolfram 2023

3.85

2k+ ratings

🤖 Large Language Models 🧠 Neural Networks 💬 Ai And Language

Complexity

by Melanie Mitchell • 2009

Simple rules produce the complexity of ant colonies, brains, and economies. The science of how.

4.11

4k+

🧬 Complexity Science 🌊 Emergence 🌀 Self-Organization

Complexity 89%

Simple rules produce the complexity of ant colonies, brains, and economies. The science of how.

by Melanie Mitchell 2009

4.11

4k+ ratings

🧬 Complexity Science 🌊 Emergence 🌀 Self-Organization

Matter and Consciousness

by Paul M. Churchland • 1984

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

3.89

1k+

🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism

Matter and Consciousness 89%

Folk psychology is a 2,000-year-old theory that hasn't improved. Neuroscience says it never will.

by Paul M. Churchland 1984

3.89

1k+ ratings

🧠 Philosophy Of Mind 🔬 Cognitive Science ⚛️ Physicalism

The Little Book of Mathematical Principles, Theories & Things

by Robert Solomon • 2008

A compact tour through math's biggest ideas: zero, infinity, and the proof that broke mathematics.

3.97

438

🏛️ History Of Mathematics 📐 Math Primers 🧱 Mathematical Foundations

The Little Book of Mathematical Principles, Theories & Things Summary

The Little Book of Mathematical Principles, Theories & Things 89%

A compact tour through math's biggest ideas: zero, infinity, and the proof that broke mathematics.

by Robert Solomon 2008

3.97

438 ratings

🏛️ History Of Mathematics 📐 Math Primers 🧱 Mathematical Foundations

Compare Features	Free	Pro
📖 Read Summaries Read unlimited summaries. Free users get 3 per month
🎧 Listen to Summaries Listen to unlimited summaries in 40 languages	—
❤️ Unlimited Bookmarks Free users are limited to 4	—
📜 Unlimited History Free users are limited to 4	—
📥 Unlimited Downloads Free users are limited to 1	—

People love SoBrief

Join our global community of 600,000+ readers

★★★★★

This site is a total game-changer. I've been flying through book summaries like never before. Highly, highly recommend.

— Dave G

Worth my money and time, and really well made. I've never seen this quality of summaries on other websites. Very helpful!

— Em

Highly recommended!! Fantastic service. Perfect for those that want a little more than a teaser but not all the intricate details of a full audio book.

— Greg M