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Every day we make intuitive decisions—from the mundane choice of what clothes to wear to more important issues such as which new car "feels right" or which person would be "good" for a particular job. To varying degrees, logic plays a role in these decisions, but at a certain point all of us rely on intuition, our sixth sense. Is this the right way to decide? Should we trust our gut feelings? When intuition conflicts with logic, what should we do? In Educating Intuition, Robin M. Hogarth lays bare this mysterious process so fundamental to daily life by offering the first comprehensive overview of what the science of psychology can tell us about intuition—where it comes from, how it works, whether we can trust it. From this literature and his own research, Hogarth finds that intuition is a normal and important component of thought that has its roots in processes of tacit learning. Environment, attention, experience, expertise, and the success of the scientific method all form part of Hogarth's perspective on intuition, leading him to the surprising—but natural—conclusion that we can educate our sixth sense. To this end he offers concrete suggestions and exercises to help readers develop their intuitive skills and habits for learning the "right" lessons from experience. Artfully and accessibly combining cognitive science, the latest research in psychology, and Hogarth's own observations, Educating Intuition eschews the vague approach to the topic that has become commonplace and provides instead a wholly engaging and practical guide to enhancing our intuitive skills.
An argument that moral reasoning plays a crucial role in moral judgment through episodes of rational reflection that have established patterns for automatic judgment foundation. Rationalists about the psychology of moral judgment argue that moral cognition has a rational foundation. Recent challenges to this account, based on findings in the empirical psychology of moral judgment, contend that moral thinking has no rational basis. In this book, Hanno Sauer argues that moral reasoning does play a role in moral judgment—but not, as is commonly supposed, because conscious reasoning produces moral judgments directly. Moral reasoning figures in the acquisition, formation, maintenance, and reflective correction of moral intuitions. Sauer proposes that when we make moral judgments we draw on a stable repertoire of intuitions about what is morally acceptable, which we have acquired over the course of our moral education—episodes of rational reflection that have established patterns for automatic judgment foundation. Moral judgments are educated and rationally amenable moral intuitions. Sauer engages extensively with the empirical evidence on the psychology of moral judgment and argues that it can be shown empirically that reasoning plays a crucial role in moral judgment. He offers detailed counterarguments to the anti-rationalist challenge (the claim that reason and reasoning play no significant part in morality and moral judgment) and the emotionist challenge (the argument for the emotional basis of moral judgment). Finally, he uses Joshua Greene's Dual Process model of moral cognition to test the empirical viability and normative persuasiveness of his account of educated intuitions. Sauer shows that moral judgments can be automatic, emotional, intuitive, and rational at the same time.
In writing the present book I have had in mind the following objectives: - To propose a theoretical, comprehensive view of the domain of intuition. - To identify and organize the experimental findings related to intuition scattered in a wide variety of research contexts. - To reveal the educational implications of the idea, developed for science and mathematics education. Most of the existing monographs in the field of intuition are mainly concerned with theoretical debates - definitions, philosophical attitudes, historical considerations. (See, especially the works of Wild (1938), of Bunge (1 962) and of Noddings and Shore (1 984).) A notable exception is the book by Westcott (1968), which combines theoretical analyses with the author’s own experimental studies. But, so far, no attempt has been made to identify systematically those findings, spread throughout the research literature, which could contribute to the deciphering of the mechanisms of intuition. Very often the relevant studies do not refer explicitly to intuition. Even when this term is used it occurs, usually, as a self-evident, common sense term.
As children, we would have spilt glasses of milk, dropped things, and broken things. As children, therefore, we would have developed intuitions about how the world ‘works’, but we would not necessarily have been able to explain these ‘workings’. It would only have been till we entered formal schooling that we would have learned codifications of canon within each respective discipline, and consequently how to articulate the canon to explain the intuition. The preceding example was from the natural sciences, but one could just have easily taken an example from, say, the environmental sciences or from the social sciences. Indeed, much of this book does just that, as it seeks to chart the territory of a new theory of learning around Disciplinary Intuitions. Many of the chapters within draw frequent and explicit linkages to curriculum design, from the premise of the need to go beyond addressing the conceptions of learners, to seeking to understand the substrate upon which these conceptions are founded. The argument is made that this substrate comprises the particular set of lived experiences of each learner, and how – because these lived experiences are as tacit as they are diverse – designing curriculum around misconceptions and preconceptions alone would not lead to enduring understanding from first principles. From this perspective, Disciplinary Intuitions constitute an exciting field at the nexus of learning theories and curriculum design.
From Mark Quirk, recipient of the 2006 Society of Teachers of Family Medicine's Excellence in Education award, comes the latest on improving medical education. In this volume, Quirk explores metacognition, the idea that we can think about the way we or other people think, and thus gain a better understanding of ourselves, our own cognitive processes, and the patients we seek to help. Written for medical educators--from medical school faculty to residents--this book will help you teach your students and interns how to extrapolate lessons from experience and integrate learning and practice. It will help them to think more clearly and thoroughly about what they read, hear, and learn on a day-to-day basis and thus become more informed and humanistic doctors.
I challenge you to find a field as interesting and exciting as Deep Learning. This book is a spin-off from my previous book "The Deep Learning AI Playbook." The Playbook was meant for a professional audience. This is targeted to a much wider audience. There are two kinds of audiences, those looking to explore and those looking to optimize. There are two ways to learn, learning by exploration and learning by exploitation. This book is about exploration into the emerging field of Deep Learning. It's more like a popular science book and less of a business book. It's not going to provide any practical advice of how to use or deploy Deep Learning. However, it's a book that will explore this new field in many more perspectives. So at the very least, you'll walk away with the ability to hold a very informative and impressive conversation about this unique subject. It's my hope that having less constraints on what I can express can lead to a more insightful and novel book. There are plenty of ideas that are either too general or too speculative to fit within a business oriented book. With a business book, you always want to manage expectations. Artificial Intelligence is one of those topics that you want to keep speaking in a conservative manner. That's one reason I felt the need for this book. Perhaps the freedom to be more liberal can give readers more ideas as where this field is heading. Also, it's not just business that needs to understand Deep Learning. We are all going to be profoundly impacted by this new kind of Artificial Intelligence and it is critical we all develop at least a good intuition of how it will change the world.The images in the front cover are all generated using Deep Learning technology.
Examines the tension between intuitive and analytical ways of making sense of the world by exploring musical knowledge and experience.
Why is split second decision-making superior to deliberation? Gut Feelings delivers the science behind Malcolm Gladwell's Blink. Reflection and reason are overrated, according to renowned psychologist Gerd Gigerenzer. Much better qualified to help us make decisions is the cognitive, emotional, and social repertoire we call intuition, a suite of gut feelings that have evolved over the millennia specifically for making decisions. Gladwell drew heavily on Gigerenzer's research. But Gigerenzer goes a step further by explaining just why our gut instincts are so often right. Intuition, it seems, is not some sort of mystical chemical reaction but a neurologically based behavior that evolved to ensure that we humans respond quickly when faced with a dilemma (BusinessWeek).