Tom Griffiths

Tom Griffiths is a professor of psychology and cognitive science at Princeton University, known for his research on human cognition and how people make decisions. His work explores the intersection of human psychology, machine learning, and rational statistical inference. As co-author of "Algorithms to Live By: The Computer Science of Human Decisions" (with Brian Christian), Griffiths has helped bridge the gap between computer science concepts and everyday human decision-making. The book examines how algorithmic thinking can be applied to common problems and has been translated into multiple languages. Griffiths serves as the Director of the Computational Cognitive Science Lab at Princeton, where his research focuses on developing mathematical models of human cognition. His academic contributions have earned him several awards, including the Troland Research Award from the National Academy of Sciences and the Early Investigator Award from the Society of Experimental Psychologists. Prior to joining Princeton, Griffiths was a professor at the University of California, Berkeley, where he held joint appointments in psychology and cognitive science. His research has been published in leading academic journals and has influenced fields ranging from artificial intelligence to educational theory.

Readers appreciate Griffiths' ability to explain complex computational and cognitive science concepts through relatable examples. "Algorithms to Live By" receives praise for making computer science principles accessible to non-technical audiences. What readers liked: - Clear explanations of difficult concepts - Practical applications to daily life - Balance of scientific rigor and readability - Concrete examples that illustrate abstract ideas What readers disliked: - Later chapters become more technical and dense - Some concepts feel oversimplified - Limited practical takeaways despite promises of real-world application - Occasional repetitive examples Ratings: - Goodreads: 4.1/5 (37,000+ ratings) - Amazon: 4.5/5 (2,800+ ratings) One reader noted: "Makes you think differently about everyday decisions without getting lost in technical jargon." Another criticized: "Started strong but lost focus in later chapters - felt like two different books." Most criticism centers on the book's structure rather than its content or Griffiths' expertise.

Algorithms to Live By: The Computer Science of Human Decisions (2016) Co-authored with Brian Christian, this book examines how concepts from computer science and mathematics can be applied to everyday human decision-making and problem-solving.

The Teaching of Psychology: A Step By Step Guide (2008) A practical guide for psychology instructors covering teaching methods, course design, and classroom management techniques.

Mind Hacks: Tips & Tools for Using Your Brain (2004) Co-authored with Matt Webb, this book presents 100 techniques based on cognitive science research to understand and optimize mental processes.

Daniel Kahneman writes about decision-making, cognitive biases, and how humans process information. His work bridges psychology and behavioral economics, focusing on the dual-system theory of thinking and common errors in human judgment.

Steven Pinker examines human cognition, language development, and evolutionary psychology. His books connect cognitive science findings with broader questions about human nature and societal patterns.

Annie Murphy Paul investigates how people learn and process information in different contexts. She explores the relationship between cognition, environment, and the body's role in thinking processes.

Brian Christian focuses on the intersection of computer science, philosophy, and human cognition. He examines how algorithms and computational concepts relate to human decision-making and behavior.

David Eagleman writes about neuroscience and its implications for human behavior and consciousness. His work explores brain plasticity and time perception, connecting neuroscientific research to everyday human experiences.