This work offers a selection of seminal papers on the foundations of cognitive science, from leading figures in artificial intelligence, linguistics, philosophy and cognitive psychology. Each category includes papers that show the conception in question, illustrate, interpret or criticise it.

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.

Minds, Brains, Computers serves as both an historical and interdisciplinary introduction to the foundations of cognitive science.

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?

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.

Edited by a renowned scholar in the field, this anthology provides a self-contained introduction to the philosophy of mind. Both an anthology and commentary, it contains an extensive collection of classical and contemporary readings on the subject, as well as substantial editorial material, which set the extracts in context and guide the reader through them. The volume is organised into 12 sections, providing instructors with flexibility in designing and teaching a variety of courses.

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?