By the author of THE DESIGN OF EVERYDAY THINGS. Insightful and whimsical, profoundly intelligent and easily accessible, Don Norman has been exploring the design of our world for decades, exploring this complex relationship between humans and machines. In this seminal work, fully revised and updated, Norman gives us the first steps towards demanding a person-centered redesign of the machines we use every day. Humans have always worked with objects to extend our cognitive powers, from counting on our fingers to designing massive supercomputers. But advanced technology does more than merely assist with memory—the machines we create begin to shape how we think and, at times, even what we value. In THINGS THAT MAKE US SMART, Donald Norman explores the complex interaction between human thought and the technology it creates, arguing for the development of machines that fit our minds, rather than minds that must conform to the machine.

Simple Heuristics That Make Us Smart invites readers to embark on a new journey into a land of rationality that differs from the familiar territory of cognitive science and economics. Traditional views of rationality tend to see decision makers as possessing superhuman powers of reason, limitless knowledge, and all of eternity in which to ponder choices. To understand decisions in the real world, we need a different, more psychologically plausible notion of rationality, and this book provides it. It is about fast and frugal heuristics--simple rules for making decisions when time is pressing and deep thought an unaffordable luxury. These heuristics can enable both living organisms and artificial systems to make smart choices, classifications, and predictions by employing bounded rationality. But when and how can such fast and frugal heuristics work? Can judgments based simply on one good reason be as accurate as those based on many reasons? Could less knowledge even lead to systematically better predictions than more knowledge? Simple Heuristics explores these questions, developing computational models of heuristics and testing them through experiments and analyses. It shows how fast and frugal heuristics can produce adaptive decisions in situations as varied as choosing a mate, dividing resources among offspring, predicting high school drop out rates, and playing the stock market. As an interdisciplinary work that is both useful and engaging, this book will appeal to a wide audience. It is ideal for researchers in cognitive psychology, evolutionary psychology, and cognitive science, as well as in economics and artificial intelligence. It will also inspire anyone interested in simply making good decisions.

Andrew Yang, the founder of Venture for America, offers a unique solution to our country’s economic and social problems—our smart people should be building things. Smart People Should Build Things offers a stark picture of the current culture and a revolutionary model that will redirect a generation of ambitious young people to the critical job of innovating and building new businesses. As the Founder and CEO of Venture for America, Andrew Yang places top college graduates in start-ups for two years in emerging U.S. cities to generate job growth and train the next generation of entrepreneurs. He knows firsthand how our current view of education is broken. Many college graduates aspire to finance, consulting, law school, grad school, or medical school out of a vague desire for additional status and progress rather than from a genuine passion or fit. In Smart People Should Build Things, this self-described “recovering lawyer” and entrepreneur weaves together a compelling narrative of success stories (including his own), offering observations about the flow of talent in the United States and explanations of why current trends are leading to economic distress and cultural decline. He also presents recommendations for both policy makers and job seekers to make entrepreneurship more realistic and achievable.

How a computational framework can account for the successes and failures of human cognition At the heart of human intelligence rests a fundamental puzzle: How are we incredibly smart and stupid at the same time? No existing machine can match the power and flexibility of human perception, language, and reasoning. Yet, we routinely commit errors that reveal the failures of our thought processes. What Makes Us Smart makes sense of this paradox by arguing that our cognitive errors are not haphazard. Rather, they are the inevitable consequences of a brain optimized for efficient inference and decision making within the constraints of time, energy, and memory—in other words, data and resource limitations. Framing human intelligence in terms of these constraints, Samuel Gershman shows how a deeper computational logic underpins the “stupid” errors of human cognition. Embarking on a journey across psychology, neuroscience, computer science, linguistics, and economics, Gershman presents unifying principles that govern human intelligence. First, inductive bias: any system that makes inferences based on limited data must constrain its hypotheses in some way before observing data. Second, approximation bias: any system that makes inferences and decisions with limited resources must make approximations. Applying these principles to a range of computational errors made by humans, Gershman demonstrates that intelligent systems designed to meet these constraints yield characteristically human errors. Examining how humans make intelligent and maladaptive decisions, What Makes Us Smart delves into the successes and failures of cognition.

Featuring a foreword by David Brooks, This Will Make You Smarter presents brilliant—but accessible—ideas to expand every mind. What scientific concept would improve everybody’s cognitive toolkit? This is the question John Brockman, publisher of Edge.org, posed to the world’s most influential thinkers. Their visionary answers flow from the frontiers of psychology, philosophy, economics, physics, sociology, and more. Surprising and enlightening, these insights will revolutionize the way you think about yourself and the world. Contributors include: Daniel Kahneman on the “focusing illusion” Jonah Lehrer on controlling attention Richard Dawkins on experimentation Aubrey De Grey on conquering our fear of the unknown Martin Seligman on the ingredients of well-being Nicholas Carr on managing “cognitive load” Steven Pinker on win-win negotiating Daniel Goleman on understanding our connection to the natural world Matt Ridley on tapping collective intelligence Lisa Randall on effective theorizing Brian Eno on “ecological vision” J. Craig Venter on the multiple possible origins of life Helen Fisher on temperament Sam Harris on the flow of thought Lawrence Krauss on living with uncertainty

From the New York Times bestselling author of How We Got To Now and Farsighted Forget everything you’ve ever read about the age of dumbed-down, instant-gratification culture. In this provocative, unfailingly intelligent, thoroughly researched, and surprisingly convincing big idea book, Steven Johnson draws from fields as diverse as neuroscience, economics, and media theory to argue that the pop culture we soak in every day—from Lord of the Rings to Grand Theft Auto to The Simpsons—has been growing more sophisticated with each passing year, and, far from rotting our brains, is actually posing new cognitive challenges that are actually making our minds measurably sharper. After reading Everything Bad is Good for You, you will never regard the glow of the video game or television screen the same way again. With a new afterword by the author.

Explains how self-delusion is part of a person's psychological defense system, identifying common misconceptions people have on topics such as caffeine withdrawal, hindsight, and brand loyalty.