When you consider what your boss is thinking or whether your spouse is happy, you are admitting them into the “mind club.” It’s easy to assume other humans can think and feel, but what about a cow, a computer, a corporation? What kinds of mind do they have? Daniel M. Wegner and Kurt Gray are award-winning psychologists who have discovered that minds—while incredibly important—are a matter of perception. Their research opens a trove of new findings, with insights into human behavior that are fascinating, frightening and funny. The Mind Club explains why we love some animals and eat others, why people debate the existence of God so intensely, how good people can be so cruel, and why robots make such poor lovers. By investigating the mind perception of extraordinary targets—animals, machines, comatose people, god—Wegner and Gray explain what it means to have a mind, and why it matter so much. Fusing cutting-edge research and personal anecdotes, The Mind Club explores the moral dimensions of mind perception with wit and compassion, revealing the surprisingly simple basis for what compels us to love and hate, to harm and to protect.

    This book addresses questions such as: can we define technology? Does technology shape us, or do we shape it? Is technology inevitable or unpredictable?

    But building a machine learning system requires that you make practical decisions: Should you collect more training data? Should you use end-to-end deep learning? How do you deal with your training set not matching your test set? and many more. Historically, the only way to learn how to make these "strategy" decisions has been a multi-year apprenticeship in a graduate program or company. This is a book to help you quickly gain this skill, so that you can become better at building AI systems.

    Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.

    With Mind, Paul Thagard offers an introduction to this interdisciplinary field for readers who come to the subject with very different backgrounds. It is suitable for classroom use by students with interests ranging from computer science and engineering to psychology and philosophy.Thagard's systematic descriptions and evaluations of the main theories of mental representation advanced by cognitive scientists allow students to see that there are many complementary approaches to the investigation of mind. The fundamental theoretical perspectives he describes include logic, rules, concepts, analogies, images, and connections (artificial neural networks). The discussion of these theories provides an integrated view of the different achievements of the various fields of cognitive science.This second edition includes substantial revision and new material. Part I, which presents the different theoretical approaches, has been updated in light of recent work the field. Part II, which treats extensions to cognitive science, has been thoroughly revised, with new chapters added on brains, emotions, and consciousness. Other additions include a list of relevant Web sites at the end of each chapter and a glossary at the end of the book. As in the first edition, each chapter concludes with a summary and suggestions for further reading.

    . . on addiction.”—Ezra Klein, New York Times.“Accessible and enjoyable. The Craving Mind brilliantly combines the latest science with universal real-life experiences—from falling in love to spending too much time with our phones.”—Arianna Huffington We are all vulnerable to addiction. Whether it’s a compulsion to constantly check social media, binge eating, smoking, excessive drinking, or any other behaviors, we may find ourselves uncontrollably repeating. Why are bad habits so hard to overcome? Is there a key to conquering the cravings we know are unhealthy for us?   This book provides groundbreaking answers to the most important questions about addiction. Dr. Judson Brewer, a psychiatrist and neuroscientist who has studied the science of addictions for twenty years, reveals how we can tap into the very processes that encourage addictive behaviors in order to step out of them. He describes the mechanisms of habit and addiction formation, then explains how the practice of mindfulness can interrupt these habits. Weaving together patient stories, his own experience with mindfulness practice, and current scientific findings from his own lab and others, Dr. Brewer offers a path for moving beyond our cravings, reducing stress, and ultimately living a fuller life.

    From the book, you learn why the field is important, both as a branch of engineering and as a science. If you are a computer scientist or an engineer, you will enjoy the book, because it provides a cornucopia of new ideas for representing knowledge, using knowledge, and building practical systems. If you are a psychologist, biologist, linguist, or philosopher, you will enjoy the book because it provides an exciting computational perspective on the mystery of intelligence. The Knowledge You Need This completely rewritten and updated edition of Artificial Intelligence reflects the revolutionary progress made since the previous edition was published. Part I is about representing knowledge and about reasoning methods that make use of knowledge. The material covered includes the semantic-net family of representations, describe and match, generate and test, means-ends analysis, problem reduction, basic search, optimal search, adversarial search, rule chaining, the rete algorithm, frame inheritance, topological sorting, constraint propagation, logic, truth

    Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.