How to Stay Smart in a Smart World

How to Stay Smart in a Smart World PDF Author: Gerd Gigerenzer
Publisher: MIT Press
ISBN: 0262046954
Category : Psychology
Languages : en
Pages : 321

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Book Description
How to stay in charge in a world populated by algorithms that beat us in chess, find us romantic partners, and tell us to “turn right in 500 yards.” Doomsday prophets of technology predict that robots will take over the world, leaving humans behind in the dust. Tech industry boosters think replacing people with software might make the world a better place—while tech industry critics warn darkly about surveillance capitalism. Despite their differing views of the future, they all seem to agree: machines will soon do everything better than humans. In How to Stay Smart in a Smart World, Gerd Gigerenzer shows why that’s not true, and tells us how we can stay in charge in a world populated by algorithms. Machines powered by artificial intelligence are good at some things (playing chess), but not others (life-and-death decisions, or anything involving uncertainty). Gigerenzer explains why algorithms often fail at finding us romantic partners (love is not chess), why self-driving cars fall prey to the Russian Tank Fallacy, and how judges and police rely increasingly on nontransparent “black box” algorithms to predict whether a criminal defendant will reoffend or show up in court. He invokes Black Mirror, considers the privacy paradox (people want privacy but give their data away), and explains that social media get us hooked by programming intermittent reinforcement in the form of the “like” button. We shouldn’t trust smart technology unconditionally, Gigerenzer tells us, but we shouldn’t fear it unthinkingly, either.

Think

Think PDF Author: Lisa Bloom
Publisher: ReadHowYouWant.com
ISBN: 1459614593
Category : Self-Help
Languages : en
Pages : 418

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Book Description
Explains how women can break free from the dumbed-down culture of reality TV and celebrity obsession and instead learn to think for themselves and live an intellectual life.

Simple Heuristics that Make Us Smart

Simple Heuristics that Make Us Smart PDF Author: Gerd Gigerenzer
Publisher: Oxford University Press
ISBN: 0190286768
Category : Psychology
Languages : en
Pages : 438

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Book Description
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.

How Smart Machines Think

How Smart Machines Think PDF Author: Sean Gerrish
Publisher: MIT Press
ISBN: 0262537974
Category : Computers
Languages : en
Pages : 313

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Book Description
Everything you want to know about the breakthroughs in AI technology, machine learning, and deep learning—as seen in self-driving cars, Netflix recommendations, and more. The future is here: Self-driving cars are on the streets, an algorithm gives you movie and TV recommendations, IBM’s Watson triumphed on Jeopardy over puny human brains, computer programs can be trained to play Atari games. But how do all these things work? In this book, Sean Gerrish offers an engaging and accessible overview of the breakthroughs in artificial intelligence and machine learning that have made today’s machines so smart. Gerrish outlines some of the key ideas that enable intelligent machines to perceive and interact with the world. He describes the software architecture that allows self-driving cars to stay on the road and to navigate crowded urban environments; the million-dollar Netflix competition for a better recommendation engine (which had an unexpected ending); and how programmers trained computers to perform certain behaviors by offering them treats, as if they were training a dog. He explains how artificial neural networks enable computers to perceive the world—and to play Atari video games better than humans. He explains Watson’s famous victory on Jeopardy, and he looks at how computers play games, describing AlphaGo and Deep Blue, which beat reigning world champions at the strategy games of Go and chess. Computers have not yet mastered everything, however; Gerrish outlines the difficulties in creating intelligent agents that can successfully play video games like StarCraft that have evaded solution—at least for now. Gerrish weaves the stories behind these breakthroughs into the narrative, introducing readers to many of the researchers involved, and keeping technical details to a minimum. Science and technology buffs will find this book an essential guide to a future in which machines can outsmart people.

Getting Smart

Getting Smart PDF Author: Tom Vander Ark
Publisher: John Wiley & Sons
ISBN: 1118115872
Category : Education
Languages : en
Pages : 240

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Book Description
A comprehensive look at the promise and potential of online learning In our digital age, students have dramatically new learning needs and must be prepared for the idea economy of the future. In Getting Smart, well-known global education expert Tom Vander Ark examines the facets of educational innovation in the United States and abroad. Vander Ark makes a convincing case for a blend of online and onsite learning, shares inspiring stories of schools and programs that effectively offer "personal digital learning" opportunities, and discusses what we need to do to remake our schools into "smart schools." Examines the innovation-driven world, discusses how to combine online and onsite learning, and reviews "smart tools" for learning Investigates the lives of learning professionals, outlines the new employment bargain, examines online universities and "smart schools" Makes the case for smart capital, advocates for policies that create better learning, studies smart cultures

The Ideal Team Player

The Ideal Team Player PDF Author: Patrick M. Lencioni
Publisher: John Wiley & Sons
ISBN: 1119209617
Category : Business & Economics
Languages : en
Pages : 195

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Book Description
In his classic book, The Five Dysfunctions of a Team, Patrick Lencioni laid out a groundbreaking approach for tackling the perilous group behaviors that destroy teamwork. Here he turns his focus to the individual, revealing the three indispensable virtues of an ideal team player. In The Ideal Team Player, Lencioni tells the story of Jeff Shanley, a leader desperate to save his uncle’s company by restoring its cultural commitment to teamwork. Jeff must crack the code on the virtues that real team players possess, and then build a culture of hiring and development around those virtues. Beyond the fable, Lencioni presents a practical framework and actionable tools for identifying, hiring, and developing ideal team players. Whether you’re a leader trying to create a culture around teamwork, a staffing professional looking to hire real team players, or a team player wanting to improve yourself, this book will prove to be as useful as it is compelling.

Rational Relating

Rational Relating PDF Author: Damon Lance Jacobs
Publisher: BalboaPress
ISBN: 1452581789
Category : Family & Relationships
Languages : en
Pages : 184

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Book Description
Relationships don't have to be that hard! Billions of people are walking around on this Earth, trying to connect with others and build meaningful and satisfying bonds. Yet for so many, there is something getting in the way of this wonderful experience. Something is preventing individuals and couples from having the joyful life they want and deserve. Rational Relating guides you through the simple, step-by-step process of creating and sustaining a relationship structure that serves to enhance love, serenity, and pleasure, while minimizing stress, resentment, and fear in relationships. It outlines the "five pillars" that will uphold and sustain emotional connections, even during the rough times. It will give you clear tools and resources for discovering abundance in your life, while using the power of your mind and spirit to enhance positive, nurturing relationships. If you are in the early stages of a new relationship, heading toward marriage or partnership, or even looking for refreshing ways to reconnect in a long-term partnership, then Rational Relating will offer you smart, innovative, and fun ways to create the love you want with others. Based on two decades of experience and thousands of sessions, Damon L. Jacobs has developed a simple framework that helps couples build a lasting and sustainable union that endures the largest and smallest of relationship earthquakes.

Risk Savvy

Risk Savvy PDF Author: Gerd Gigerenzer
Publisher: Penguin UK
ISBN: 0141970111
Category : Self-Help
Languages : en
Pages : 253

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Book Description
A fascinating, practical guide to making better decisions with our money, health and personal lives from Gerd Gigerenzer, the author of Reckoning with Risk. Risk-taking is essential for innovation, fun, and the courage to face the uncertainties in life. Yet for many important decisions, we're often presented with statistics and probabilities that we don't really understand and we inevitably rely on experts in the relevant fields - policy makers, financial advisors, doctors - to analyse and choose for us. But what if they don't quite understand the way the information is presented either? How do we make sure we're asking doctors the right questions about proposed treatment? Is there a rule of thumb that could help choose the right partner? This entertaining book shows us how to recognize when we don't have all the information and know what to do about it. Gerd Gigerenzer looks at examples from every aspect of life to identify the reasons for our collective misunderstanding of the risks we face. He shows how we can all use simple rules to avoid being manipulated into unrealistic fears or hopes, to make better-informed decisions, and to learn to understand risk and uncertainty in our own lives. 'Gigerenzer is brilliant and his topic is fabulous' Steven Pinker 'Catchily optimistic and slyly funny' Guardian Gerd Gigerenzer is Director of the Center for Adaptive Behavior and Cognition at the Max Planck Institute for Human Development in Berlin and former Professor of Psychology at the University of Chicago. He is the author of several books on heuristics and decision making, including Reckoning with Risk.

What Makes Us Smart

What Makes Us Smart PDF Author: Samuel J. Gershman
Publisher: Princeton University Press
ISBN: 0691225990
Category : Psychology
Languages : en
Pages : 218

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Book Description
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.

Classification in the Wild

Classification in the Wild PDF Author: Konstantinos V. Katsikopoulos
Publisher: MIT Press
ISBN: 0262361957
Category : Language Arts & Disciplines
Languages : en
Pages : 208

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Book Description
Rules for building formal models that use fast-and-frugal heuristics, extending the psychological study of classification to the real world of uncertainty. This book focuses on classification--allocating objects into categories--"in the wild," in real-world situations and far from the certainty of the lab. In the wild, unlike in typical psychological experiments, the future is not knowable and uncertainty cannot be meaningfully reduced to probability. Connecting the science of heuristics with machine learning, the book shows how to create formal models using classification rules that are simple, fast, and transparent and that can be as accurate as mathematically sophisticated algorithms developed for machine learning.