Minds, Brains and Science takes up just the problems that perplex people, and it does what good philosophy always does: it dispels the illusion caused by the specious collision of truths. How do we reconcile common sense and science? John Searle argues vigorously that the truths of common sense and the truths of science are both right and that the only question is how to fit them together. Searle explains how we can reconcile an intuitive view of ourselves as conscious, free, rational agents with a universe that science tells us consists of mindless physical particles. He briskly and lucidly sets out his arguments against the familiar positions in the philosophy of mind, and details the consequences of his ideas for the mind-body problem, artificial intelligence, cognitive science, questions of action and free will, and the philosophy of the social sciences.

Six lectures discuss the mind-body problem, artificial intelligence, the workings of the brain, the mental aspect of human action, prediction of human behavior, and free will.

This book addresses the philosophical questions that arise when neuroscientific research and technology are applied in the legal system. The empirical, practical, ethical, and conceptual issues that Pardo and Patterson seek to redress will deeply influence how we negotiate and implement the fruits of neuroscience in law and policy in the future.

What do we do when we view a work of art? What does it mean to have an 'aesthetic' experience? Are such experiences purely in the eye of the beholder? This book addresses the nature of aesthetic experience from the perspectives of philosophy psychology and neuroscience.

Why should psychologists and educators study the brain? Can neuroscientific research advance our understanding of student learning and motivation? What do informed readers need to know to tell the difference between plausible applications of brain research and unfounded speculation? This timely volume considers the benefits of incorporating findings from cognitive neuroscience into the fields of educational, developmental, and cognitive psychology. The book provides a basic foundation in the methodology of brain research; describes the factors that affect brain development; and reviews salient findings on attention, memory, emotion, and reading and mathematics. For each domain, the author considers the ways that the neuroscientific evidence overlaps with or diverges from existing psychological models. Readers gain skills for assessing the credibility of widely publicized claims regarding critical periods of learning, the effects of stress hormones on the brain, the role of music training in boosting academic performance, and more. Also elucidated are the possible neuroscientific bases of attention deficits, reading problems, and mathematical disabilities in children. The volume concludes by suggesting areas for future investigation that may help answer important questions about individual and developmental differences in learning.

I think, therefore I am. The legendary pronouncement of philosopher René Descartes lingers as accepted wisdom in the Western world nearly four centuries after its author's death. But does thought really come first? Who actually runs the show: we, our thoughts, or the neurons firing within our brains? Walter J. Freeman explores how we control our behavior and make sense of the world around us. Avoiding determinism both in sociobiology, which proposes that persons' genes control their brains' functioning, and in neuroscience, which posits that their brains' disposition is molded by chemistry and environmental forces, Freeman charts a new course--one that gives individuals due credit and responsibility for their actions. Drawing upon his five decades of research in neuroscience, Freeman utilizes the latest advances in his field as well as perspectives from disciplines as diverse as mathematics, psychology, and philosophy to explicate how different human brains act in their chosen diverse ways. He clarifies the implications of brain imaging, by which neural activity can be observed during the course of normal movements, and shows how nonlinear dynamics reveals order within the fecund chaos of brain function.

In this hypothetical correspondence, Malcolm Jeeves urges Christian students to enter the brave new world of neuroscience ready to have their faith examined and their experiences of God put to the test. When we do this, he argues, being mindful of oversimplifications as we go, the integration of Christianity and psychology becomes possible.

The basic questions addressed in this book are: what is the computational nature of cognition, and what role does it play in language and other mental processes?; What are the main characteristics of contemporary computational paradigms for describing cognition and how do they differ from each other?; What are the prospects for building cognition and how do they differ from each other?; and what are the prospects for building an artificial intelligence?

"A truly comprehensive, scientifically rigorous and utterly fascinating account of when, how, and why we dream. Put simply, When Brains Dream is the essential guide to dreaming." —Matthew Walker, author of Why We Sleep Questions on the origins and meaning of dreams are as old as humankind, and as confounding and exciting today as when nineteenth-century scientists first attempted to unravel them. Why do we dream? Do dreams hold psychological meaning or are they merely the reflection of random brain activity? What purpose do dreams serve? When Brains Dream addresses these core questions about dreams while illuminating the most up-to-date science in the field. Written by two world-renowned sleep and dream researchers, it debunks common myths that we only dream in REM sleep, for example—while acknowledging the mysteries that persist around both the science and experience of dreaming. Antonio Zadra and Robert Stickgold bring together state-of-the-art neuroscientific ideas and findings to propose a new and innovative model of dream function called NEXTUP—Network Exploration to Understand Possibilities. By detailing this model’s workings, they help readers understand key features of several types of dreams, from prophetic dreams to nightmares and lucid dreams. When Brains Dream reveals recent discoveries about the sleeping brain and the many ways in which dreams are psychologically, and neurologically, meaningful experiences; explores a host of dream-related disorders; and explains how dreams can facilitate creativity and be a source of personal insight. Making an eloquent and engaging case for why the human brain needs to dream, When Brains Dream offers compelling answers to age-old questions about the mysteries of sleep.

How developments in science and technology may enable the emergence of purely digital minds—intelligent machines equal to or greater in power than the human brain. What do computers, cells, and brains have in common? Computers are electronic devices designed by humans; cells are biological entities crafted by evolution; brains are the containers and creators of our minds. But all are, in one way or another, information-processing devices. The power of the human brain is, so far, unequaled by any existing machine or known living being. Over eons of evolution, the brain has enabled us to develop tools and technology to make our lives easier. Our brains have even allowed us to develop computers that are almost as powerful as the human brain itself. In this book, Arlindo Oliveira describes how advances in science and technology could enable us to create digital minds. Exponential growth is a pattern built deep into the scheme of life, but technological change now promises to outstrip even evolutionary change. Oliveira describes technological and scientific advances that range from the discovery of laws that control the behavior of the electromagnetic fields to the development of computers. He calls natural selection the ultimate algorithm, discusses genetics and the evolution of the central nervous system, and describes the role that computer imaging has played in understanding and modeling the brain. Having considered the behavior of the unique system that creates a mind, he turns to an unavoidable question: Is the human brain the only system that can host a mind? If digital minds come into existence—and, Oliveira says, it is difficult to argue that they will not—what are the social, legal, and ethical implications? Will digital minds be our partners, or our rivals?