Mind Design 2

Mind design is the endeavor to understand mind (thinking, intellect) in terms of its design (how it is built, how it works). Unlike traditional empirical psychology, it is more oriented toward the "how" than the "what." An experiment in mind design is more likely to be an attempt to build something and make it work—as in artificial intelligence—than to observe or analyze what already exists. Mind design is psychology by reverse engineering. When Mind Design was first published in 1981, it became a classic in the then-nascent fields of cognitive science and AI. This second edition retains four landmark essays from the first, adding to them one earlier milestone (Turing's "Computing Machinery and Intelligence") and eleven more recent articles about connectionism, dynamical systems, and symbolic versus nonsymbolic models. The contributors are divided about evenly between philosophers and scientists. Yet all are "philosophical" in that they address fundamental issues and concepts; and all are "scientific" in that they are technically sophisticated and concerned with concrete empirical research. Contributors Rodney A. Brooks, Paul M. Churchland, Andy Clark, Daniel C. Dennett, Hubert L. Dreyfus, Jerry A. Fodor, Joseph Garon, John Haugeland, Marvin Minsky, Allen Newell, Zenon W. Pylyshyn, William Ramsey, Jay F. Rosenberg, David E. Rumelhart, John R. Searle, Herbert A. Simon, Paul Smolensky, Stephen Stich, A.M. Turing, Timothy van Gelder

The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century. In the quarter century since the publication of John Haugeland’s Mind Design II, computer scientists have hit many of their objectives for successful artificial intelligence. Computers beat chess grandmasters, driverless cars navigate streets, autonomous robots vacuum our homes, and ChatGPT answers existential queries in iambic pentameter on command. Engineering has made incredible strides. But have we made progress in understanding and building minds? Comprehensively updated by Carl Craver and Colin Klein to reflect the astonishing ubiquity of machine learning in modern life, Mind Design III offers an essential collection of classic and contemporary essays on the philosophical foundations and implications of artificial intelligence. Contributions from a diverse range of philosophers and computer scientists address the nature of computation, the nature of thought, and the question of whether computers can be made to think. With extensive new material reflecting the explosive growth and diversification of AI approaches, this classic reader equips students to assess the possibility of, and progress toward, building minds out of computers. New edition highlights: New chapters on advances in deep neural networks, reinforcement learning, and causal learning New material on the complementary intersection of neuroscience and AI Organized thematically rather than chronologically Brand new introductions to each section that include suggestions for coursework and further reading

Beginning with techniques for consulting the public, the authors describe and examine the natural areas, like parks and nature reserves, that so often vary in quality and show how to improve them in ways that are compatible with the environment.

The essential reader on the philosophical foundations and implications of artificial intelligence, now comprehensively updated for the twenty-first century. In the quarter century since the publication of John Haugeland’s Mind Design II, computer scientists have hit many of their objectives for successful artificial intelligence. Computers beat chess grandmasters, driverless cars navigate streets, autonomous robots vacuum our homes, and ChatGPT answers existential queries in iambic pentameter on command. Engineering has made incredible strides. But have we made progress in understanding and building minds? Comprehensively updated by Carl Craver and Colin Klein to reflect the astonishing ubiquity of machine learning in modern life, Mind Design III offers an essential collection of classic and contemporary essays on the philosophical foundations and implications of artificial intelligence. Contributions from a diverse range of philosophers and computer scientists address the nature of computation, the nature of thought, and the question of whether computers can be made to think. With extensive new material reflecting the explosive growth and diversification of AI approaches, this classic reader equips students to assess the possibility of, and progress toward, building minds out of computers. New edition highlights: New chapters on advances in deep neural networks, reinforcement learning, and causal learning New material on the complementary intersection of neuroscience and AI Organized thematically rather than chronologically Brand new introductions to each section that include suggestions for coursework and further reading

Summary Design for the Mind: Seven Psychological Principles of Persuasive Design teaches web designers and developers how to create sites and applications that appeal to our innate natural responses as humans. Author Victor Yocco, a researcher on psychology and communication, introduces the most immediately relevant and applicable psychological concepts, breaks down each theory into easily-digested principles, then shows how they can be used to inform better design. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Designers and design team members need to think about more than just aesthetics. How do you handle short attention spans. How does your design encourage users to engage, browse, or buy? Fortunately, there are psychological principles that you can use in your design to anticipate and benefit from how humans think, behave, and react. About the Book Design for the Mind: Seven Psychological Principles of Persuasive Design teaches you to recognize how websites and applications can benefit from an awareness of our innate, natural responses as humans, and to apply the same principles to your own designs. This approachable book introduces the psychological principles, deconstructs each into easily digestible concepts, and then shows how you can apply them. The idea is to deepen your understanding of why people react in the ways they do. After reading the book, you'll be ready to make your work more psychologically friendly, engaging, and persuasive. What's Inside Making design persuasive Encouraging visitors to take action Creating enduring messages Meeting the needs of both engaged and disengaged visitors Becoming a strategic influencer Applying theory, with case studies and real-world examples About the Reader This book is for web and UX designers and developers as well as anyone involved in customer-facing digital products. About the Author Victor Yocco, PhD, is a research director at a Philadelphia-based digital design firm. He received his PhD from The Ohio State University, where his research focused on psychology and communication in informal learning settings. Victor regularly writes and speaks on topics related to the application of psychology to design and addressing the culture of alcohol use in design and technology. He can be found at www.victoryocco.com or @victoryocco on Twitter. Table of Contents PART 1 INTRODUCING THE APPLICATION OF PSYCHOLOGY TO DESIGN Meeting users' needs: including psychology in design PART 2 WHY DO FOLKS ACT LIKE THAT? PRINCIPLES OF BEHAVIOR Designing for regular use: addressing planned behavior Risky decisions and mental shortcuts Motivation, ability, and trigger-boom! PART 3 PRINCIPLES OF INFLUENCE AND PERSUASION: NOT AS EVIL AS YOU'D THINK Influence: getting people to like and use your design Using family, friends, and social networks to influence users It's not what you say; it's how you say it! Persuasion: the deadliest art PART 4 USER EXPERIENCE DESIGN: PUTTING IT ALL TOGETHER Case study: KidTech Design Co.'s Good Choice app The next step: getting up and running