Beset from all sides by a never-ending barrage of media, how can we ensure that the most accurate information emerges and is heeded? In this book, Cass R. Sunstein develops a deeply optimisticunderstanding of the human potential to pool information, and to use that knowledge to improve our lives.In an age of information overload, it is easy to fall back on our own prejudices and insulate ourselves with comforting opinions that reaffirm our core beliefs. Crowds quickly become mobs. The justification for the Iraq war, the collapse of Enron, the explosion of the space shuttle Columbia--all ofthese resulted from decisions made by leaders and groups trapped in information cocoons, shielded from information at odds with their preconceptions. How can leaders and ordinary people challenge insular decision making and gain access to the sum of human knowledge?Stunning new ways to share and aggregate information, many Internet-based, are helping companies, schools, governments, and individuals not only to acquire, but also to create, ever-growing bodies of accurate knowledge. Through a ceaseless flurry of self-correcting exchanges, wikis, coveringeverything from politics and business plans to sports and science fiction subcultures, amass--and refine--information. Open-source software enables large numbers of people to participate in technological development. Prediction markets aggregate information in a way that allows companies, rangingfrom computer manufacturers to Hollywood studios, to make better decisions about product launches and office openings. Sunstein shows how people can assimilate aggregated information without succumbing to the dangers of the herd mentality--and when and why the new aggregation techniques are soastoundingly accurate.In a world where opinion and anecdote increasingly compete on equal footing with hard evidence, the on-line effort of many minds coming together might well provide the best path to infotopia.

    This friendly guide answers all your questions, from setting up your tank and selecting fish to the water, chemicals, plants, and much more. There's also expanded guidance on combining different species of fish, maintaining a tank, cleaning gravel, and dealing with common problems such as algae. Discover how to * Choose the right aquarium * Select the best fish * Get good deals on equipment * Maintain a clean, healthy environment * Handle tank pitfalls * Breed your fish

    Johnson. It was the first book exclusively on the theory of NP-completeness and computational intractability. The book features an appendix providing a thorough compendium of NP-complete problems (which was updated in later printings of the book). The book is now outdated in some respects as it does not cover more recent development such as the PCP theorem. It is nevertheless still in print and is regarded as a classic: in a 2006 study, the CiteSeer search engine listed the book as the most cited reference in computer science literature.

    He shows rather that new tools are more often the sparks that ignite scientific discovery. Such tool-driven revolutions have profound social consequences--the invention of the telescope turning the Medieval world view upside down, the widespread use of household appliances in the 1950s replacing servants, to cite just two examples. In looking ahead, Dyson suggests that solar energy, genetics, and the Internet will have similarly transformative effects, with the potential to produce a more just and equitable society. Solar power could bring electricity to even the poorest, most remote areas of third world nations, allowing everyone access to the vast stores of information on the Internet and effectively ending the cultural isolation of the poorest countries. Similarly, breakthroughs in genetics may well enable us to give our children healthier lives and grow more efficient crops, thus restoring the economic and human vitality of village cultures devalued and dislocated by the global market.Written with passionate conviction about the ethical uses of science, The Sun, the Genome, and the Internet is both a brilliant reinterpretation of the scientific process and a challenge to use new technologies to close, rather than widen, the gap between rich and poor.

    Will take 25-35 days

    On The Neuroscience of Change, psychologist and award-winning Stanford lecturer Kelly McGonigal presents six sessions of breakthrough ideas, guided practices, and real-world exercises for making self-awareness and kindness the basis for meaningful transformation.Practical Methods to Retrain Your Brain to Support Your GoalsOur understanding of the incredible power of the human brain is at an all-time high, with the emerging fields of neuroscience, evolutionary psychology, and psychophysiology opening new possibilities for greater health, happiness, and freedom from suffering. Drawing on her training as a research scientist and longtime practitioner of meditation and yoga, Dr. McGonigal reveals these startling findings—including the clinically supported methods for training the mind away from default states and negativity that no longer serve us and establishing behaviors and attitudes aligned with our highest values and aspirations.The First Rule of Change: It's Already HappeningAs the world's wisdom traditions teach and science is now verifying, our lives are in fact defined by constant change. Whether you're looking to change a behavior, improve your health or other circumstances, or simply for a way to bring hope and resilience into your life as it is, The Neuroscience of Change will help you trust yourself and unfold your true capacities for personal transformation.HighlightsWillingness, self-awareness, and surrender—how to nourish the seeds of change• Focusing on the process, not the outcome• How to overcome the "trigger-to-instinct" reaction• The proven benefits of meditation—and how to start practicing yourself• How to transform self-criticism into self-compassion• Why your mind creates habits—and how to consciously create new ones• Making values-driven commitments• Visualization and the principle of "encoding prospective memories"• The power of the vow• "Deep activation" and the danger of rejecting what is• Working with inner experiences as the key to making outward change• Six hours of breakthrough science, practical wisdom, guided exercises, and mindfulness meditations for making positive change that lastsCourse objectives:Discuss how to nourish the seeds of change and transformation by working with inner experiences as the key to making outward change through willingness, self-awareness, and surrender.• Explain how to transform self-criticism into self-compassion• Discuss the value of vows, "encoding prospective memories," making values-driven commitments and how to overcome the "trigger-to-instinct" in the process of transformation and change.• Practice guided reflections based on breakthrough science, practical sensability, and wisdom traditions, including exercises and mindfulness meditations that for making positive change that lasts.

    With his own research as well as that of some of the most distinguished scientists of our time, Schäfer moves us from a reality of Darwinian competition to cooperation, a meaningless universe to a meaningful one, and a disconnected, isolated existence to an interconnected one. In so doing, he shows us that our potential is infinite and calls us to live in accordance with the order of the universe, creating a society based on the cosmic principle of connection, emphasizing cooperation and community.

    It discusses neuroanatomy, cell and molecular mechanisms and signaling through a cognitive approach to behaviour. It features an expanded treatment of the nervous system, neurological and psychiatric diseases and perception.

    Instead, ants decide what to do based on the rate, rhythm, and pattern of individual encounters and interactions--resulting in a dynamic network that coordinates the functions of the colony. Ant Encounters provides a revealing and accessible look into ant behavior from this complex systems perspective.Focusing on the moment-to-moment behavior of ant colonies, Deborah Gordon investigates the role of interaction networks in regulating colony behavior and relations among ant colonies. She shows how ant behavior within and between colonies arises from local interactions of individuals, and how interaction networks develop as a colony grows older and larger. The more rapidly ants react to their encounters, the more sensitively the entire colony responds to changing conditions. Gordon explores whether such reactive networks help a colony to survive and reproduce, how natural selection shapes colony networks, and how these structures compare to other analogous complex systems. Ant Encounters sheds light on the organizational behavior, ecology, and evolution of these diverse and ubiquitous social insects.

    Johnson-Bennett shares real cases to illustrate various problems and explains how she arrives at an appropriate solution through behavior modification. Her method requires a positive approach to correcting the behavior rather than punishment. She also uses interactive toys, which she believes helps not only to correct the behavior problem, but also to put the cat/owner relationship back in sync.

    Although Fodor has praised the computational theory of mind as the best theory of cognition that we have got, he considers it to be only a fragment of the truth. In fact, he claims, cognitive scientists do not really know much yet about how the mind works (the book's title refers to Steve Pinker's How the Mind Works).Fodor's primary aim is to explore the relationship among computational and modular theories of mind, nativism, and evolutionary psychology. Along the way, he explains how Chomsky's version of nativism differs from that of the widely received New Synthesis approach. He concludes that although we have no grounds to suppose that most of the mind is modular, we have no idea how nonmodular cognition could work. Thus, according to Fodor, cognitive science has hardly gotten started.

    This fascination is driven by the ancient chemical forces that first drew humans and animals together. It is also the same biology that transformed wolves into dogs and skittish horses into valiant comrades that would carry us into battle.Made for Each Other is the first book to explain how this chemistry of attraction and attachment flows through--and between--all mammals to create the profound emotional bonds humans and animals still feel today.Drawing on recent discoveries from neuroscience, evolutionary biology, behavioral psychology, archeology, as well as her own investigations, Meg Daley Olmert explains why the brain chemistry humans and animals trigger in each other also has a profound effect on our mental and physical well being.This lively and original investigation asks what happens when the bond is severed. If thousands of years of caring for animals infused us with a biology that shaped our hearts and minds, do we dare turn our back on it? Daley Olmert makes a compelling and scientific case for what our hearts have always known, that we were, and always will be, made for each other.

    Organized to illustrate the major themes of Elliot Aronson's The Social Animal, this collection of classic and contemporary readings explores the most important ideas, issues, and debates in social psychology today.

    Maybe you’re stuck in a boring industry. Maybe your boss likes to slam doors. The truth is that many smart, motivated people would quit in a heartbeat if they weren’t afraid of the financial risks…and, well, the unknown. Whether you want to upgrade your 9-5 or start your own company, Robbie Abed presents a foolproof strategy to find a better job—without stressing, worrying your family, or losing money. You’re talented. Talent is in high demand. You just have to know where to look. In this accessible handbook, full of anecdotes, stories, and tips, you’ll learn how to reconnect with your interests, sharpen your talents, build a network, experiment with ideas for next steps, elicit job offers, and negotiate for higher salaries than your last. Oh, and how to quit your job with aplomb (goodbye email template included). You’ve been miserable for long enough. Look at it this way: hating your job might be the best thing that could’ve happened to you. It’s a kick in the pants to learn survival skills for the coming jobpocalypse. As our machines get smarter, robots, cognitive machines, and the simple software on your computer will render old jobs obsolete. In other words, there is no such thing as job security. The goal of this book is twofold: to help you get out before the music stops, and to teach you skills to find a job you love. Not just once, but anytime, anywhere, in any economic climate, with almost any salary goal. You didn’t hear that wrong.

    This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics--particularly in machine learning, scientific modeling, and artificial life--and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting general purpose nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text. The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.