If reason is what makes us human, then why do we humans often behave so irrationally? Taking us from desert ants to Aristotle, cognitive psychologists Hugo Mercier and Dan Sperber explore how our 'flawed superpower' of reason works, how it doesn't, and how it evolved to help us develop as social beings. 'Original and provocative ... likely to have a big impact on our understanding of ourselves' Steven Pinker 'Brilliant, elegant and compelling ... turns reason's weaknesses into strengths, arguing that its supposed flaws are actually design features that work remarkably well ... A timely and necessary book' Julian Baggini, Financial Times 'Hugo Mercier and Dan Sperber have solved one of the most important and longstanding puzzles in psychology' Jonathan Haidt 'Reason is more likely to confirm things that we want to be true, or which we already believe. So why does it exist? This book provides the answer' Alex Dean, Prospect

Seymour W. Itzkoff is one of the world's leading intelligence researchers. His exciting new book Our Unfinished Biological Revolution offers a bold and highly original new study on the evolution of human intelligence from the origin of life to our times. With the help of evolutionary theory, Itzkoff explains the nature of human intelligence as we know it today. Most importantly, it demonstrates that evolution led to the rise of what intelligence researchers call the general intelligence factor: the human ability to plan ahead and solve problems for which natural selection did not prepare us. The book also argues that humans vary in intelligence (as with all traits shaped by Darwinian evolution), and hence in their propensity to think abstractly and anticipate long-term consequences of their actions. Our Unfinished Biological Revolution explores the social implications of these two factors as they unfold in modern technological societies, in which intelligence plays an increasingly important role. Finally, the book argues that human intelligence may offer our best hope in solving the daunting problems of the present era?including population growth, the exhaustion of natural resources, and the rise of simplistic and devastating ideologies.

Our extraordinary capacity to reason and solve problems sets us aside from other animals, but our evolved thinking processes also leave us susceptibile to bias and error. The study of thinking and reasoning goes back to Aristotle, and was one of the first topics to be studied when psychology separated from philosophy. In this Very Short Introduction Jonathan Evans explores cognitive psychological approaches to understanding the nature of thinking and reasoning, problem solving, and decision making. He shows how our problem solving capabilities are hugely dependent on also having the imagination to ask the right questions, and the ability to see things from a completely new perspective. Beginning by considering the approaches of the behaviourists and the Gestalt psychologists, he moves on to modern explorations of thinking, including hypothetical thinking, conditionals, deduction, rationality, and intuition. Covering the role of past learning, IQ, and cognitive biases, Evans also discusses the idea that there may be two different ways of thinking, arising from our evolutionary history. ABOUT THE SERIES: The Very Short Introductions series from Oxford University Press contains hundreds of titles in almost every subject area. These pocket-sized books are the perfect way to get ahead in a new subject quickly. Our expert authors combine facts, analysis, perspective, new ideas, and enthusiasm to make interesting and challenging topics highly readable.

This book offers the first complete study of the origins of American intelligence testing. It follows the life and work of Henry Herbert Goddard, America's first intelligence tester and author of the famous American eugenics tract, The Kallikak Family. The book traces the controversies surrounding Goddard's efforts to bring Alfred Binet's tests of intelligence from France to America and to introduce them into the basic institutions of American life--from hospitals to classrooms to courtrooms. It shows how testers used their findings to address the most pressing social and political questions of their day, including povery, crime, prostitution, alcoholism, immigration restriction, and military preparedness. It also explores the broader legacies of the testing movement by showing how Goddard's ideas helped to reshape the very meaning of mental retardation, special education, clinical psychology, and the "normal" mind in ways that would be felt for the rest of the century.

How have modern democracies squared their commitment to equality with their fear that disparities in talent and intelligence might be natural, persistent, and consequential? In this wide-ranging account of American and French understandings of merit, talent, and intelligence over the past two centuries, John Carson tells the fascinating story of how two nations wrestled scientifically with human inequalities and their social and political implications.

Surveying a broad array of political tracts, philosophical treatises, scientific works, and journalistic writings, Carson chronicles the gradual embrace of the IQ version of intelligence in the United States, while in France, the birthplace of the modern intelligence test, expert judgment was consistently prized above such quantitative measures. He also reveals the crucial role that determinations of, and contests over, merit have played in both societies--they have helped to organize educational systems, justify racial hierarchies, classify army recruits, and direct individuals onto particular educational and career paths.

A contribution to both the history of science and intellectual history, "The Measure of Merit" illuminates the shadow languages of inequality that have haunted the American and French republics since their inceptions.

'A joy to read ... mind-expanding' Book of the Week, Guardian 'A bold and brave paean to our planet's ligneous, leafy kingdom' Telegraph 'An impressive exploration and dazzling insight into the lives of plants' Reaction Book Digest What is it like to be a plant? It's not a question we might think to contemplate, even though many of us live surrounded by plants. Science has long explored the wonderful ways in which plants communicate, behave and shape their environments: from chemical warfare to turning their predators to cannibalism. But they're usually just the backdrop to our frenetic animal lives. While plants may not have brains or move around as we do, cutting-edge science is revealing that they have astonishing inner worlds of an alternate kind to ours. They can plan ahead, learn, recognise their relatives, assess risks and make decisions. They can even be put to sleep. Innovative new tools might allow us to actually see them do these things - from electrophysiological recordings to MRI and PET scans. If you can look in the right way, a world full of drama unfurls. In PLANTA SAPIENS, Professor Paco Calvo offers a bold new perspective on plant biology and cognitive science. Using the latest scientific findings, Calvo challenges us to make an imaginative leap into a world that is so close and yet so alien - one that will expand our understanding of our own minds. From their rich subjective experiences to how they are inspiring novel ways of approaching the ecological crisis, PLANTA SAPIENS is a dazzling exploration of the lives of plants and a call to approach how we think about the natural world in a new, maverick way.

What is intelligence? The concept crosses and blurs the boundaries between natural and artificial, bridging the human brain and the cybernetic world of AI. In this book, the acclaimed philosopher Catherine Malabou ventures a new approach that emphasizes the intertwined, networked relationships among the biological, the technological, and the symbolic. Malabou traces the modern metamorphoses of intelligence, seeking to understand how neurobiological and neurotechnological advances have transformed our view. She considers three crucial developments: the notion of intelligence as an empirical, genetically based quality measurable by standardized tests; the shift to the epigenetic paradigm, with its emphasis on neural plasticity; and the dawn of artificial intelligence, with its potential to simulate, replicate, and ultimately surpass the workings of the brain. Malabou concludes that a dialogue between human and cybernetic intelligence offers the best if not the only means to build a democratic future. A strikingly original exploration of our changing notions of intelligence and the human and their far-reaching philosophical and political implications, Morphing Intelligence is an essential analysis of the porous border between symbolic and biological life at a time when once-clear distinctions between mind and machine have become uncertain.

This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.

A Malcolm Gladwell, Susan Cain, Daniel Pink and Adam Grant NEXT BIG IDEA book club read about how to avoid the pitfalls of too little, and too much, complexity. 'Essential insights into the character of human choice and decision-making.' ROBERT CIALDINI, bestselling author of Influence ________ In this groundbreaking exploration of how our brains work, psychologist Professor Kevin Dutton explains that by understanding the nature of our hardwired black and white thinking we are better equipped to negotiate life's grey zones and make subtler and smarter decisions. Our brains are hardwired to sort, categorize and draw lines. It's how we navigate the kaleidoscope of everyday information. Yet imagine failing an exam by a mere 1 per cent. Or being caught speeding at just 1 mph over the speed limit. We have to draw the line somewhere, we say. But lines can be unhelpful or even dangerous when drawn where they aren't wanted, or in too thick a hand. By thinking in terms of ' 'them' or 'us' and 'this' or 'that' we isolate ourselves from ideas we don't agree with and people who are not the same as us. We fail to listen to the other side of the argument and beliefs become polarized. Intolerance and extremism flourish. The human race has survived by making binary decisions, but such thinking might also destroy us. We may be programmed to think in black and white but rainbow thinking is the key to our cognitive future. __________ 'Fascinating, important and entirely convincing.' SIR PHILIP PULLMAN

Discover brain training activities, scientific revelations, and tips to help unlock your mind's potential! Packed with cognitive exercises, logic puzzles and mind maps, this brain activity book offers a balanced, clear, colourful and practical guide to keeping your brain fit. Inside the pages of this scientifically based brain fitness programme, you'll find: - Clear visual explanations on how the brain works, how it recalls memories, and how and why it forgets - Practical advice on how to monitor and maintain a healthy brain function - Step-by-step mental exercises and activities to help train your brain - from sudoku to learning a language Packed with expert advice, brain tests, and a range of exercises to stimulate your memory and mental agility, The Brain Fitness Book will equip you with everything you need to keep your brain working to its maximum potential. It includes puzzles, sensory exercises and step-by-step introductions to activities from playing the guitar to beginning yoga and tai chi. Discover how to achieve a brain-healthy lifestyle! This empowering guide highlights the role of quality sleep, a healthy diet and physical exercise to help you look after both your physical and mental well-being. Our mental fitness is just as crucial as our body's, with regular training your brain helps you to be less prone to age-related decline, as well as conquering stress, anxiety, and the risk of depression. The Brain Fitness Book is the perfect gift or purchase for anyone interested in maintaining mental health and cognition.

Why a new approach is needed in the quest for general artificial intelligence.Since the inception of artificial intelligence, we have been warned about the imminent arrival of computational systems that can replicate human thought processes. Before we know it, computers will become so intelligent that humans will be lucky to kept as pets. And yet, although artificial intelligence has become increasingly sophisticated--with such achievements as driverless cars and humanless chess-playing--computer science has not yet created general artificial intelligence. In Algorithms Are Not Enough, Herbert Roitblat explains how artificial general intelligence may be possible and why a robopocalypse is neither imminent, nor likely. Existing artificial intelligence, Roitblat shows, has been limited to solving path problems, in which the entire problem consists of navigating a path of choices--finding specific solutions to well-structured problems. Human problem-solving, on the other hand, includes problems that consist of ill-structured situations, including the design of problem-solving paths themselves. These are insight problems, and insight is an essential part of intelligence that has not been addressed by computer science. Roitblat draws on cognitive science, including psychology, philosophy, and history, to identify the essential features of intelligence needed to achieve general artificial intelligence. Roitblat describes current computational approaches to intelligence, including the Turing Test, machine learning, and neural networks. He identifies building blocks of natural intelligence, including perception, analogy, ambiguity, common sense, and creativity. General intelligence can create new representations to solve new problems, but current computational intelligence cannot. The human brain, like the computer, uses algorithms; but general intelligence, he argues, is more than algorithmic processes.

The new field of experimental philosophy has emerged as the methods of psychological science have been brought to bear on traditional philosophical issues. Oxford Studies in Experimental Philosophy is the place to go to see outstanding new work in the field. It features papers by philosophers, papers by psychologists, and papers co-authored by people in both disciplines. The series heralds the emergence of a truly interdisciplinary field in which people from different disciplines are working together to address a shared set of questions. The papers in this third volume illustrate the ways in which the field continues to broaden, taking on new methodological approaches and interacting with substantive theories from an ever wider array of disciplines. Some recent research in experimental philosophy is going more deeply into well-established questions in the field, while other strands of research are exploring issues that scarcely appeared in the field even a few years ago. Thus, we see the introduction of new empirical and statistical methods (network analysis), new theoretical approaches (formal semantics), and the development of entirely new interdisciplinary connections (in the emerging field of "experimental jurisprudence").

FT BUSINESS BOOK OF THE MONTH 'A comprehensive, concise, and practical guide that will enable anyone, in any situation, to develop their strategic thinking' Tiffani Bova, Chief Growth Evangelist, Salesforce, WSJ bestselling author, Growth IQ 'A must read for everyone who ever deals with complex important challenges. There are many take-away gems here that will help you push through the knotty centre of hard-to-resolve problems. Highly recommended!', Richard Rumelt, author of Good Strategy, Bad Strategy Being strategic is a critical skill. It enables you to solve problems on a day-to-day basis while also keeping an eye on the long term, anticipating opportunities and mitigating threats along the way. Fred Pelard has been teaching strategic thinking to executives at all levels at leading companies around the world for almost 20 years. How to Be Strategic is his accessible and thorough guide to strategic thinking in any situation. It contains 12 smartly illustrated, workable methodologies from leading experts like Eric Ries, Chan Kim, and Barbara Minto, and will help you find your own path to the right solution every time. 'A wonderful and inspirational look into wide-ranging frameworks and theories to spark new thinking and strategy' Tom Goodwin, author of Digital Darwinism and Head of Futures and Insight at Publicis Groupe 'Practical and comprehensive' Roeland Assenberg, Director, Strategy and Banking, Monitor Deloitte Netherlands

This book provides an introduction to nineteen popular multiple intelligences. Part One discusses general intelligence, psychological testing, naturalistic intelligence, social intelligence, emotional intelligence, interpersonal intelligence, and cultural intelligence. Part Two tackles machine intelligence, the development of artificial intelligence, computational intelligence, and digital intelligence, or the ability for humans to adapt to a digital environment. Finally, Part Three discusses the role of intelligence in business development, using technology to augment intelligence, abstract thinking, swarm and animal intelligence, military intelligence, and musical intelligence. A Primer on Multiple Intelligences is a must-read for graduate students or scholars considering researching cognition, perception, motivation, and artificial intelligence. It will also be of use to those in social psychology, computer science, and pedagogy. It is as a valuable resource for anyone interested in learning more about the multifaceted study of intelligence.

Find out your IQ, the fun way . . . ------------------------- Underline the odd-man-out house igloo bungalow office hut ------------------------- Insert the word that means the same as the two words outside the brackets. fowl (......) grumble ------------------------- The intelligence quotient remains the definitive means of assessing brain capacity, and this classic book, originally published in 1962, was the first that permitted readers to determine their own I.Q. It includes an introduction by the prolific psychologist Hans Eysenck, followed by a range of easy to difficult I.Q. challenges. At the back of the book you can find the answers and your personal I.Q. rating. Good luck!

Examining the role of implicit, unconscious thinking on reasoning, decision making, problem solving, creativity, and its neurocognitive basis, for a genuinely psychological conception of rationality. This volume contributes to a current debate within the psychology of thought that has wide implications for our ideas about creativity, decision making, and economic behavior. The essays focus on the role of implicit, unconscious thinking in creativity and problem solving, the interaction of intuition and analytic thinking, and the relationship between communicative heuristics and thought. The analyses move beyond the conventional conception of mind informed by extra-psychological theoretical models toward a genuinely psychological conception of rationality-a rationality no longer limited to conscious, explicit thought, but able to exploit the intentional implicit level. The contributors consider a new conception of human rationality that must cope with the uncertainty of the real world; the implications of abandoning the normative model of classic logic and adopting a probabilistic approach instead; the argumentative and linguistic aspects of reasoning; and the role of implicit thought in reasoning, creativity, and its neurological base. Contributors Maria Bagassi, Linden J. Ball, Jean Baratgin, Aron K. Barbey, Tilmann Betsch, Eric Billaut, Jean-Francois Bonnefon, Pierre Bonnier, Shira Elqayam, Keith Frankish, Gerd Gigerenzer, Ken Gilhooly, Denis Hilton, Anna Lang, Stefanie Lindow, Laura Macchi, Hugo Mercier, Giuseppe Mosconi, Ian R. Newman, Mike Oaksford, David Over, Guy Politzer, Johannes Ritter, Steven A. Sloman, Edward J. N. Stupple, Ron Sun, Nicole H. Therriault, Valerie A. Thompson, Emmanuel Trouche-Raymond, Riccardo Viale

This book provides a frequentist semantics for conditionalization on partially known events, which is given as a straightforward generalization of classical conditional probability via so-called probability testbeds. It analyzes the resulting partial conditionalization, called frequentist partial (F.P.) conditionalization, from different angles, i.e., with respect to partitions, segmentation, independence, and chaining. It turns out that F.P. conditionalization meets and generalizes Jeffrey conditionalization, i.e., from partitions to arbitrary collections of events, opening it for reassessment and a range of potential applications. A counterpart of Jeffrey's rule for the case of independence holds in our frequentist semantics. This result is compared to Jeffrey's commutative chaining of independent updates. The postulate of Jeffrey's probability kinematics, which is rooted in the subjectivism of Frank P. Ramsey, is found to be a consequence in our frequentist semantics. This way the book creates a link between the Kolmogorov system of probability and one of the important Bayesian frameworks. Furthermore, it shows a preservation result for conditional probabilities under the full update range and compares F.P. semantics with an operational semantics of classical conditional probability in terms of so-called conditional events. Lastly, it looks at the subjectivist notion of desirabilities and proposes a more fine-grained analysis of desirabilities a posteriori. This book appeals to researchers who are involved in any kind of knowledge processing systems. F.P. conditionalization is a straightforward, fundamental concept that fits human intuition, and is systematically linked to one of the important Bayesian frameworks. As such, the book is interesting for anybody investigating the semantics of reasoning systems.

This book describes argumentative tools and strategies that can be used to guide policy decisions under conditions of great uncertainty. Contributing authors explore methods from philosophical analysis and in particular argumentation analysis, showing how it can be used to systematize discussions about policy issues involving great uncertainty. The first part of the work explores how to deal in a systematic way with decision-making when there may be plural perspectives on the decision problem, along with unknown consequences of what we do. Readers will see how argumentation tools can be used for prioritizing among uncertain dangers, for determining how decisions should be framed, for choosing a suitable time frame for a decision, and for systematically choosing among different decision options. Case studies are presented in the second part of the book, showing argumentation in practice in the areas of climate geoengineering, water governance, synthetic biology, nuclear waste, and financial markets. In one example, argumentation analysis is applied to proposals to solve the climate problem with various technological manipulations of the natural climate system, such as massive dispersion of reflective aerosols into the stratosphere. Even after a thorough investigation of such a proposal, doubt remains as to whether all the potential risks have been identified. In such discussions, conventional risk analysis does not have much to contribute since it presupposes that the risks have been identified, whereas the argumentative approach to uncertainty management can be used to systematize discussions.