Mitchel Resnick's book is one of the very few in the field of computing with an interdisciplinary discourse that can reach beyond the technical community to philosophers, psychologists, and historians and sociologists of science." -- Sherry Turkle, Professor, Program in Science, Technology, and Society, Massachusetts Institute of Technology "Resnick's work provides a rare glimpse of what I am sure will become a new paradigm for research in education.

    It also incorporates new information regarding the solar system and an account of complexity theory. This witty, lucid and engaging book makes the complex mathematics of chaos accessible and entertaining. Presents complex mathematics in an accessible style. Includes three new chapters on prediction in chaotic systems, control of chaotic systems, and on the concept of chaos. Provides a discussion of complexity theory.

    Although we are unaware of it, our brains sift through and discard billions of pieces of data in order to allow us to understand the world around us. In fact, most of what we call thought is actually the unconscious discarding of information. What our consciousness rejects constitutes the most valuable part of ourselves, the "Me" that the "I" draws on for most of our actions--fluent speech, riding a bicycle, anything involving expertise. No wonder that, in this age of information, so many of us feel empty and dissatisfied. As engaging as it is insightful, this important book encourages us to rely more on what our instincts and our senses tell us so that we can better appreciate the richness of human life.

    Genes are important, but only as part of a process constrained by environment, physical laws, and the universal tendencies of complex adaptive systems. In a new preface for this edition, Goodwin reflects on the advances in both genetics and the sciences of complexity since the book's original publication.

    The science of complexity studies how single elements, such as a species or a stock, spontaneously organize into complicated structures like ecosystems and economies; stars become galaxies, and snowflakes avalanches almost as if these systems were obeying a hidden yearning for order. Drawing from diverse fields, scientific luminaries such as Nobel Laureates Murray Gell-Mann and Kenneth Arrow are studying complexity at a think tank called The Santa Fe Institute. The revolutionary new discoveries researchers have made there could change the face of every science from biology to cosmology to economics. M. Mitchell Waldrop's groundbreaking bestseller takes readers into the hearts and minds of these scientists to tell the story behind this scientific revolution as it unfolds.

    We nevertheless muddle through even in the absence of theories of how to act. But how do we do it?In Probably Approximately Correct, computer scientist Leslie Valiant presents a masterful synthesis of learning and evolution to show how both individually and collectively we not only survive, but prosper in a world as complex as our own. The key is “probably approximately correct” algorithms, a concept Valiant developed to explain how effective behavior can be learned. The model shows that pragmatically coping with a problem can provide a satisfactory solution in the absence of any theory of the problem. After all, finding a mate does not require a theory of mating. Valiant’s theory reveals the shared computational nature of evolution and learning, and sheds light on perennial questions such as nature versus nurture and the limits of artificial intelligence.Offering a powerful and elegant model that encompasses life’s complexity, Probably Approximately Correct has profound implications for how we think about behavior, cognition, biological evolution, and the possibilities and limits of human and machine intelligence.

    Whether you’re an intermediate-level Python programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.You’ll work with graphs, algorithm analysis, scale-free networks, and cellular automata, using advanced features that make Python such a powerful language. Ideal as a text for courses on Python programming and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.Work with NumPy arrays and SciPy methods, basic signal processing and Fast Fourier Transform, and hash tablesStudy abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machinesGet starter code and solutions to help you re-implement and extend original experiments in complexityExplore the philosophy of science, including the nature of scientific laws, theory choice, realism and instrumentalism, and other topicsExamine case studies of complex systems submitted by students and readers

    Now, in the wake of the global financial crisis, the principles of wikinomics have become more powerful than ever. Many of the institutions that have served us well for decades or centuries seem stuck in the past and unable to move forward. And yet, in every corner of the globe, a powerful new model of economic and social innovation is sweeping across all sectors-one where people with drive, passion, and expertise take advantage of new Web-based tools to get more involved in making the world more prosperous, just, and sustainable. Tapscott and Williams show that in over a dozen fields-from finance to health care, science to education, the media to the environment-we have reached a historic turning point: cling to the old industrial-era paradigms or use collaborative innovation to revolutionize not only the way we work, but how we live, learn, create, govern, and care for one another. You'll meet innovators such as: * An Iraq veteran whose start-up car company is "staffed" by over 4,500 competing designers and supplied by microfactories around the world * A microlending community where 570,000 individuals help fund new ventures-from Angola to Vietnam * An online community for people with life-altering diseases that also serves as a large-scale research project * An astronomer who is mapping the universe with the help of 250,000 citizen scientists Tapscott and Williams once again use original research to provide vivid new examples of organizations that are successfully embracing the principles of wikinomics to change the world. Visit www.Macrowikinomics.com.

    Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

    The NYSE computers went down and trading was suspended for several hours. The culprit wasn't hackers or a rogue algorithm. It was just... a glitch. And it's just the beginning. Technological complexity is no trivial matter. While a few hours of suspended trading may not have had lasting impact on the markets, imagine the damage that could result from a breakdown of our air traffic control systems, or earthquake warning systems. We need a new way to think about technology, and we need it fast. In Overcomplicated, complexity scientist Samuel Arbesman argues that we've reached a new era: a time when our technological systems have become too complex and interconnected for us to fully understand or predict.  From our machines and software to our legal frameworks and urban infrastructure, Arbesman explores the forces that lead us to continue to make systems more complicated and more incomprehensible, despite our best efforts to make them simpler. He goes on to identify a new framework for thinking about (and planning within) complex systems. We must abandon the idea that we will understand the rules, and instead become field biologists for technology--relying on description and observation to uncover facts about how a system might work.  Whether you work in business, finance, science, or IT, or you simply own a smart phone, Overcomplicated offers valuable insight on how to adapt to the complex age we are living in.

    Nobel laureate Murray Gell-Mann offers a uniquely personal and unifying vision of the relationship between the fundamental laws of physics and the complexity and diversity of the natural world.

    When your customers are delighted, they can amplify your message in ways that were never before possible. But when your company’s performance runs short of what you’ve promised, customers can seize control of your brand message, spreading their disappointment and frustration faster than you can keep up.To keep pace with today’s connected customers, your company must become a connected company. That means deeply engaging with workers, partners, and customers, changing how work is done, how you measure success, and how performance is rewarded. It requires a new way of thinking about your company: less like a machine to be controlled, and more like a complex, dynamic system that can learn and adapt over time.Connected companies have the advantage, because they learn and move faster than their competitors. While others work in isolation, they link into rich networks of possibility and expand their influence.Connected companies around the world are aggressively acquiring customers and disrupting the competition. In The Connected Company, we examine what they’re doing, how they’re doing it, and why it works. And we show you how your company can use the same principles to adapt—and thrive—in today’s ever-changing global marketplace.

    D.S. Malik is ideal for a one-semester course focused on data structures. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). This student-friendly text features abundant Programming Examples and extensive use of visual diagrams to reinforce difficult topics. Students will find Dr. Malik's use of complete programming code and clear display of syntax, explanation, and example easy to read and conducive to learning.

    Whether they bind computers, economies, or terrorist organizations, networks are everywhere in the real world, yet only recently have scientists attempted to explain their mysterious workings.From epidemics of disease to outbreaks of market madness, from people searching for information to firms surviving crisis and change, from the structure of personal relationships to the technological and social choices of entire societies, Watts weaves together a network of discoveries across an array of disciplines to tell the story of an explosive new field of knowledge, the people who are building it, and his own peculiar path in forging this new science.

    Explaining why the whole is sometimes smarter than the sum of its parts, Johnson presents surprising examples of feedback, self-organization, and adaptive learning. How does a lively neighborhood evolve out of a disconnected group of shopkeepers, bartenders, and real estate developers? How does a media event take on a life of its own? How will new software programs create an intelligent World Wide Web? In the coming years, the power of self-organization -- coupled with the connective technology of the Internet -- will usher in a revolution every bit as significant as the introduction of electricity. Provocative and engaging, Emergence puts you on the front lines of this exciting upheaval in science and thought.