Ancients and moderns alike have constructed arguments and assessed theories on the basis of common sense and intuitive judgements. This volume brings together a group of philosophers and psychologists to discuss these issues. It contains a collection of essays discussing intuition from two different perspectives. They also cover how psychological research seems to pose serious challenges to traditional intuition-driven philosophical enquiry.

Intuitions may seem to play a fundamental role in philosophy: but their role and their value have been challenged recently. What are intuitions? Should we ever trust them? And if so, when? Do they have an indispensable role in science—in thought experiments, for instance—as well as in philosophy? Or should appeal to intuitions be abandoned altogether? This collection brings together leading philosophers, from early to late career, to tackle such questions. It presents the state of the art thinking on the topic.

The standard view of philosophical methodology is that philosophers rely on intuitions as evidence. Herman Cappelen argues that this claim is false, and reveals how it has encouraged pseudo-problems, presented misguided ideas of what philosophy is, and misled exponents of metaphilosophy and experimental philosophy.

This title was first published in 2002. This work introduces and explores the role of apprehension in reasoning - setting out the problems, determining the vocabulary, fixing the boundaries and questioning what is often taken for granted. The author argues that a robust conception of rationality must include intellectual virtues which cannot be reduced to a set of rules for reasoners, and argues that the virtue of apprehension, an acquired disposition to see things correctly, is required if rationality is to be defensible. Drawing on an Aristotelian conception of intellectual virtue and examples from the sciences, the author shows why impersonal standards for rationality are misguided, why foundations for knowledge are the last elements to emerge from inquiry not the first, and why intuition is a poor substitute for virtue. By placing the current scene in historical perspective, the author displays the current impasse as the inevitable outcome of the replacement of intellectual virtue with method in the early modern philosophical imagination.

We know about our immediate environment—about the people, animals, and things around us—by having sensory perceptions. According to a tradition that traces back to Plato, we know about abstract reality—about mathematics, morality, and metaphysics—by having intuitions, which can be thought of as intellectual perceptions. The rough idea behind the analogy is this: while sensory perceptions are experiences that purport to, and sometimes do, reveal how matters stand in concrete reality by making us aware of that reality through the senses, intuitions are experiences that purport to, and sometimes do, reveal how matters stand in abstract reality by making us aware of that reality through the intellect. In this book, Elijah Chudnoff elaborates and defends such a view of intuition. He focuses on the experience of having an intuition, on the justification for beliefs that derives from intuition, and on the contact with abstract reality via intuition. In the course of developing a systematic account of the phenomenology, epistemology, and metaphysics of intuition on which it counts as a form of intellectual perception Chudnoff also takes up related issues such as the a priori, perceptual justification and knowledge, concepts and understanding, inference, mental action, and skeptical challenges to intuition.

Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.

#1 New York Times Bestseller “THIS. This is the right book for right now. Yes, learning requires focus. But, unlearning and relearning requires much more—it requires choosing courage over comfort. In Think Again, Adam Grant weaves together research and storytelling to help us build the intellectual and emotional muscle we need to stay curious enough about the world to actually change it. I’ve never felt so hopeful about what I don’t know.” —Brené Brown, Ph.D., #1 New York Times bestselling author of Dare to Lead The #1 New York Times bestselling author of Hidden Potential, Originals, and Give and Take examines the critical art of rethinking: learning to question your opinions and open other people's minds, which can position you for excellence at work and wisdom in life Intelligence is usually seen as the ability to think and learn, but in a rapidly changing world, there's another set of cognitive skills that might matter more: the ability to rethink and unlearn. In our daily lives, too many of us favor the comfort of conviction over the discomfort of doubt. We listen to opinions that make us feel good, instead of ideas that make us think hard. We see disagreement as a threat to our egos, rather than an opportunity to learn. We surround ourselves with people who agree with our conclusions, when we should be gravitating toward those who challenge our thought process. The result is that our beliefs get brittle long before our bones. We think too much like preachers defending our sacred beliefs, prosecutors proving the other side wrong, and politicians campaigning for approval--and too little like scientists searching for truth. Intelligence is no cure, and it can even be a curse: being good at thinking can make us worse at rethinking. The brighter we are, the blinder to our own limitations we can become. Organizational psychologist Adam Grant is an expert on opening other people's minds--and our own. As Wharton's top-rated professor and the bestselling author of Originals and Give and Take, he makes it one of his guiding principles to argue like he's right but listen like he's wrong. With bold ideas and rigorous evidence, he investigates how we can embrace the joy of being wrong, bring nuance to charged conversations, and build schools, workplaces, and communities of lifelong learners. You'll learn how an international debate champion wins arguments, a Black musician persuades white supremacists to abandon hate, a vaccine whisperer convinces concerned parents to immunize their children, and Adam has coaxed Yankees fans to root for the Red Sox. Think Again reveals that we don't have to believe everything we think or internalize everything we feel. It's an invitation to let go of views that are no longer serving us well and prize mental flexibility over foolish consistency. If knowledge is power, knowing what we don't know is wisdom.